WO2024104590A1 - Method of collecting data for process identification of a multivariable process - Google Patents

Method of collecting data for process identification of a multivariable process Download PDF

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Publication number
WO2024104590A1
WO2024104590A1 PCT/EP2022/082328 EP2022082328W WO2024104590A1 WO 2024104590 A1 WO2024104590 A1 WO 2024104590A1 EP 2022082328 W EP2022082328 W EP 2022082328W WO 2024104590 A1 WO2024104590 A1 WO 2024104590A1
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input
variable
time
output
excitation
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PCT/EP2022/082328
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French (fr)
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Michael Lundh
Alf Isaksson
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Abb Schweiz Ag
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Priority to PCT/EP2022/082328 priority Critical patent/WO2024104590A1/en
Publication of WO2024104590A1 publication Critical patent/WO2024104590A1/en

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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B17/00Systems involving the use of models or simulators of said systems
    • G05B17/02Systems involving the use of models or simulators of said systems electric

Definitions

  • Embodiments of the present disclosure relate to methods and apparatuses for collecting data for model identification of an industrial process.
  • the methods described herein involve performing experiments where a response of the output variables ofthe system to excitations of the input variables is measured, and a model of the process is determined based on said experiments.
  • BACKGROUND [0002]
  • An industrial process may have one or more inputs and one or more outputs. The inputs may be set to suitable values, which may trigger a response of one or more outputs of the system.
  • an input variable may cause a corresponding increase of one or more outputs of the process.
  • the mathematical relationship between the behaviour of the outputs as a function of the inputs may be captured, at least approximately,by a model of the process.
  • data about said behaviour can be collected by performing measurements.
  • the inputs of the process may be set to a plurality of values, and the response of the outputs thereto may be measured. Based on the measured data, amodel of the process may be constructed.
  • a challenging task in this respect is to design suitable experiments that reveal a sufficient amount of information about the process to enable the design of an accurate model.
  • a method of collecting data for process identification of a multivariable process includes, for each input variable of a set of input variables of the multivariable process, performing a bi-directional excitation experiment.
  • Performing the bi-directional excitation experiment includes setting the input variable at an initial input value.
  • Performing the bi-directional excitation experiment includes performing a first excitation of the input variable, comprising setting the input variable at a first excited input value at a first time, wherein the first excited input value differs from the initial input value by a first amount.
  • Performing the bi-directional excitation experiment includes measuring a plurality of output variables of the multivariable process in response to performing the hrst excitation.
  • a respective hysteresis level is associated to each of the measured output variables.
  • Performing the bi-directional excitation experiment includes identifying a hysteresis exceeding output variable among the measured plurality of output variables, wherein the hysteresis exceeding output variable is an output variable having a measured value that exceeds the hysteresis level associated with the output variable.
  • Performing the bi-directional excitation experiment i ncludes performing a second excitation of the input variable in response to identiffing the hysteresis exceeding output variable, wherein performing the second excitation comprises setting the input variable at a second excited input value at a second time.
  • the second excited input value differs from the initial input value by a second amount.
  • the first amount and the second amount have opposite signs.
  • Performing the bi-directional excitation experiment includes measuring at least the hysteresis exceeding output variable in response to performing the second excitation.
  • Performing the bi-directional excitation experiment includes setting the input variable at a final input value at a third time after the second time.
  • a method of model identification of a multivariable process is provided. The method includes performing the method of collecting data according to any of the embodiments described herein. The method includes determining amodel of at least aportion ofthe'multivariable process based on measurement data obtained from measuring one or more output variables during at least one of the bi-directional excitation experiments.
  • an apparatus for collecting data for process identification of a multivariable process is provided.
  • the apparatus includes one or more input devices.
  • the apparatus includes one or more measurement devices.
  • the apparatus includes a control system connected to the one or more input devices and the one or more measurement devices.
  • the apparatus is configured to perform, for each input variable of a set of input variables of the multivariable process, a bi-directional excitation experiment under the control of the control system.
  • the bi-directional excitation experiment includes setting the input variable at an initial input value using an input device.
  • the bi-directional excitation experiment includes performing a first excitation of the input variable, comprising setting the input variable at a first excited input value at a first time using the input device, wherein the first excited input value differs from the initial input value by a first amount.
  • the bi-directional excitation experiment includes measuring a plurality of output variables of the multivariable process in response to performing the first excitation, wherein each output variable is measured using a measurement device, wherein a respective hysteresis level is associated to each of the measured output variables.
  • the bi-directional excitation experiment includes identifying a hysteresis exceeding output variable among the measured plurality of output variables, wherein the hysteresis exceeding output variable is an output variable having a measured value that exceeds the hysteresis level associated with the output variable.
  • the bi-directional excitation experiment includes performing a second excitation of the input variable in response to identifying the hysteresis exceeding output variable, wherein performing the second excitation comprises setting the input variable at a second excited input value at a second time using the input device, wherein the second excited input value differs from the initial input value by a second amount, wherein the first amount and the second amount have opposite signs.
  • the bi-directional excitation experiment includes measuring at least the hysteresis exceeding output variable using a measurement device in response to performing the second excitation.
  • the bi-directional excitation experiment includes setting the input variable at a frnal input value at a third time after the second time using the input device.
  • a computer program for collecting data for process identification of a multivariable process includes instructions which, when the program is executed by a computer, cause the computer to perform, for each input variable of a set of input variables of the multivariable process, a set of instructions.
  • the set of instructions includes receiving first measurement data resulting from measuring a plurality of output variables of the multivariable process in response to performing a first excitation of the input variable, wherein performing the first excitation comprises setting the input variable at a first excited input value at a first time, wherein the first excited input value differs from an initial input value of the input variable by a first amount, wherein a respective hysteresis level is associated to each of the measured output variables.
  • the set of instructions includes identifying a hysteresis exceeding output variable among the measured plurality of output variables based on the first measurement data, wherein the hysteresis exceeding output variable is an output variable having a measured value that exceeds the hysteresis level associated with the output variable.
  • the set of instructions includes receiving second measurement data resulting from measuring at least the hysteresis exceeding output variable in response to performing a second excitation of the input variable, wherein performing the second excitation comprises setting the input variable at a second excited input value at a second time in response to identifuing the hysteresis exceeding output variable, wherein the second excited input value differs from the initial input value by a second amount, wherein the first amount and the second amount have opposite signs.
  • Fig.1 shows an example of a multivariable process 100 having input variables I l0 and output variables 120.
  • the input variables of a multivariable process are denoted herein as ul, u2, ....
  • the output variables are denoted as yr, y2, ....An input variable may take different values, such as values lying within a certain numerical range.
  • a value taken by an input variable is sometimes referred to herein as an input value of the input variable, e.g. in cases where it is useful to emphasizethatthevalue in question is associated with an input variable.
  • an output variable may take different values, which may be called output values.
  • a multivariable process as described herein may be an industrial process, e.g. a process performed in an industrial plant. Embodiments described herein are not limited to specific examples of industrial process, but are generally applicable to any kind of industrial process.
  • a multivariable process as described herein can be understood as a process having N input variables and M output variables, wherein at least one of N and M is greater than l.
  • the multivariable process includes a plurality of input variables and a plurality of output variables.
  • the number of input variables of the multivariable process may be equal to or different from the number of output variables of the multivariable process.
  • the number of input variables and/or the number of output variables may be 5 or larger, particularly 16 or larger, more particularly 32 or larger.
  • the number of input/output variables shown in the hgures is exemplary and the disclosure is not limited thereto.
  • An input variable of the multivariable process may be a variable that is adjustable or controllable.
  • the input variable may be set at a specific value, e.g. by an input device. Adjusting an input variable may result in a response of one or more output variables of the multivariable process.
  • a multivariable process as described herein may have a behaviour, or dynamics, that is at least partially unknown.
  • An aim may be to design a model describing the multivariable process, such as a mathematical model desuibing a relation between the inputs and outputs of the multivariable process.
  • a model may be designed based on measured data obtained by performing one or more experiments with respect to the multivariable process. The task of designing a model can include an initial phase of designing an initial model of the process.
  • the initial model may be a crude model, or approximative model, that captures at least some characteristics of the process. After the initial model has been designed, the initial model may be used to construct a more detailed experiment for the process.
  • An initial crude model may be beneficial in many situations for the commissioning of a multivariable controller. A typical example is when designing an identification experiment to be used to generate data for the identification of a dynamical model.
  • Embodiments described herein may be beneficial for the design of an initial model of a multivariable process. The present disclosure provides experiments that are useful for revealing at least some characteristics of the multivariable process.
  • the experiments in question involve exciting (a subset of) the input variables of the multivariable process according to a specific kind of excitation and measuring the response of (a subset of) the output variables.
  • the experiments described herein involve the notion of hysteresis.
  • a respective hysteresis level may be associated with at least some, particular all, output variables of the multivariable process.
  • a hysteresis level associated with an output variable can be understood as a width parameter e that determines a range, or interval, for the output variable. As long as the value of the output variable remains inside said range, it may be the case that no reaction in terms of an adjustment of the input variables is triggered, i.e. the multivariable process may continue without changing the values of the input variables.
  • Fig. 2 illustrates the notion of hysteresis as considered in the present disclosure.
  • a plot 250 of the behaviour an output variable yi as a function of time is shown.
  • the output variable yi can be any arbitrary output variable of the multivariable process.
  • the horizontal axis 210 represents a time parameter t.
  • the vertical axis 220 represents the value of the output variable yi.
  • a hysteresis level (225a,225b) defined by a width parameter s may be associated with the output variable yi.
  • the value of yi may be yio.
  • the value yto can be any suitable value depending on the context and is not limited to any specific value.
  • the value yio can, for example, be a referencs value that is targeted for the output variable yiby setting a specific combination of values of the input variables, or can be an equilibrium value of the output variable yi that is reached when maintaining the input variables at certain values for a longer period of time.
  • the width parameter e defines an interval lyio - e, ]io + e] surrounding the value yio. When the value of the output variable yi is outside said interval, the hysteresis level (225a,225b) is said to be exceeded.
  • the corresponding value of yt indicated at254 and256 is smaller than yio - t , respectively larger than yio f e.
  • the hysteresis level associated with yiis said to be exceeded.
  • the corresponding value of yi indicated at252 lies inside the interval [yio - t, yio * e], so that the hysteresis level is not exceeded.
  • the respective hysteresis levels associated with different output variables may be different from each other.
  • a first hysteresis level may be associated with a hrst output variable of the multivariable process.
  • a second hysteresis level may be associated with a second output variable of the multivariable process.
  • the first hysteresis level may be different from the second hysteresis level.
  • the hysteresis level associated with an output variable can be determined based on a noise parameter associated with the output variable.
  • the output variable may be subject to noise.
  • the noise may cause fluctuations of the output parameter.
  • the fluctuations of the output variable may arise even though the input parameters may be maintained at constant values.
  • a hysteresis level may be set to compensate for noise fluctuations of the output variable.
  • the width parameter r may be set to be a multiple of a standard deviation of the noise acting on the output variable, such as 3-4 times the standard deviation, or may be a multiple of a peak noise, such as 3-4 times the peak noise. Both the standard deviation of the noise and the peak noise are examples of a noise parameter as described herein.
  • Embodiments desuibed herein may include maintaining at least some, particularly all, input variables of the multivariable process at a substantially constant value over a period of time.
  • the period of time may be configured to allow at least some, particularly all, output variables to reach an equilibrium state.
  • An equilibrium state of an output value can be understood as a state where the value of the output variable remains substantially constant apart from small fluctuations that may be due to noise.
  • the method described herein may include determining a noise parameter for at least some, particularly all, output variables.
  • a noise parameter associated with an output variable such as a standard deviation of noise or a peak noise, may be determined by performing one or more measurements of the output variable while the input variables at maintained at their substantially constant values.
  • the one or more measurements may involve determining fluctuations of the output variable due to noise.
  • a hysteresis level associated with the output variable may be determined based on the noise parameter, as described herein.
  • a set of input variables of the multivariable process is determined.
  • the set of input variables may consist of all input variables of the multivariable process or a subset thereof.
  • the set of input variables includes a plurality of input variables, such as 2 or more, 5 or more, or l0 or more input variables, or an even higher number of input variables. For each input variable ut in the set of input variables, an experiment is performed in which data regarding the behaviour of the multivariable process is gathered.
  • the experiment involves exciting the multivariable system by a bi-directional excitation and measuring the response of the system to the excitation.
  • the method described herein may include selecting a first input variable ur from the set of input variables.
  • the first input variable ur can be any input variable of set of input variables and, more generally, can be any input variable of r0140 the multivariable process.
  • a bi-directional excitation experiment may be performed.
  • Fig.3 illustrates a bi-directional excitation associated with the input variable ur.
  • a plot 350 of the value of the input variable ur as a function of time is shown.
  • the horizontal axis 310 represents a time parameter t.
  • the vertical axis 320 represents the value of the input variable ur.
  • An at initial time t:0, the input variable ur may be set at an initial input value uro, indicated at 321.
  • the initial input value uro can be an arbitrary value chosen for the purpose of the experiment.
  • a first excitation of the input variable ur is performed.
  • the value of the input variable ur may be increased (e.g. according to a monotonously increasing function, such as an exponential function) until a first excited input value u16 * A, indicated at322, is reached at a first time tr, indicated at3l2.
  • the first excited input value may be chosen to be a sufficiently large value, so that a response of at least one output variable of the process can be expected to occur, for example in light of a basic a priori knowledge of the multivariable process.
  • the first excited input value uro f A differs from the initial input value uro by a first amount A, indicated at332.
  • the first amount A is a positive amount, so that the first excited input value is larger than the initial input value uro.
  • the input variable ul may be maintained substantially at the first excited input value uro * A from the first time tr to a second time tz indicated at 314.
  • the first excitation may end at substantially the second time tz. That the input variable ur is maintained substantially at the first excited input value ulo + A may include deviations with respect to the first excited input tU 40 value uro + A of, for example,5-l0Yo of the value uro + A.
  • the time period from the first time tr to the second time tz has a first duration 342.
  • the first duration 342 is determined by a response of one or more output variables, as described in more detail below.
  • a second excitation of the input variable ur is performed.
  • the input variable ur is set to a second excited input value, indicated at324.
  • the value of the input variable ur may be changed from substantially the first excited input value to the second excited input value.
  • the second excited input value may differ from the initial input value uro by a second amount, indicated at 334.
  • the second amount and the first amount have opposite signs, so that the excitations are bi-directional.
  • the second amount may be a negative amount, such that the second excited input value is smaller than the initial input value uro.
  • the second excited input value is equal to rto- 24. Accordingly, the absolute value of the second amount is twice the absolute value of the first amount.
  • the disclosure is not limited thereto, and different magnitudes of the second amount may be considered.
  • the input variable ul may be maintained substantially at the second excited input value from the second time tz to a third time tl indicated at3l6.
  • the time period from the second time tz to the third time t: has a second duration 344.
  • the second duration 344 is a predetermined duration, as described in more detail below.
  • the second excitation may end at substantially the third time t:.
  • the input variable ur may be set to a final input value.
  • the value of the input variable ur may be changed from substantially the second excited input value to the final input value.
  • the final input value may be substantially the same (allowing, for example, deviations of 5-10%) as the initial input value uro.
  • the input variable ur may be maintained substantially at the final input value for a period of time.
  • the bidirectional excitation shown in Fig. 3 is exemplary and can be modified in several ways, including the following.
  • the example shown in Fig. 3 involves a bi-directional excitation wherein the value of the input variable ur is first increased to the first excited input value (positive excitation) and thereafter decreased to the second excited input value (negative excitation).
  • the disclosure is not limited thereto.
  • a bi-directional excitation may be considered wherein the value of the input variable ur is first decreased and thereafter increased, so that the first excited input value is smaller than the initial input value (negative excitation) and the second excited input value is larger than the initial input value (positive excitation).
  • the example shown in Fig. 3 involves maintaining the input variable ur substantially at the first excited input value from the first time tr to the second time tz.
  • the disclosure is not limited thereto.
  • the value of the input variable may be changed during this time period.
  • the value of the input variable u1 may, for example, be increased during at least a portion of the period from the first time tr to the second time tz.
  • the input variable ul may be set at the first excited input value as part of a continuous ramp-up of the input variable ur that starts, for example, shortly after the initial time t : 0 and that continues after setting the input variable ur at the first excited input value.
  • the ramp-up may end shortly before, or substantially at, the second time tz.
  • the example shown in Fig. 3 involves a substantially instantaneous change from the first excited input value to the second exited input value at the second time tz.
  • the disclosure is not limit thereto.
  • the change from the first excited input value to the second excited input value may be a non-instantaneous change.
  • the change from the second excited input value to the final input value may be non-instantaneous.
  • the example shown in Fig.3 involves a second.excited input value that is twice as large (in absolute value) as the first excited input value.
  • the disclosure is not limited thereto.
  • the second excited input value may, for example, have the same absolute value as the first excited input value, so that the second excited input value is uro - A.
  • Other examples can be provided.
  • the second excited input value can be any multiple of the first excited input value, or more generally any function of the first excited input value.
  • the example shown in Fig.3 involves a final input value that is substantially the same as the initial input value uro.
  • the disclosure is not limited thereto.
  • the final input value may be different from the initial input value.
  • a bi-directional excitation experiment as described above is a simple, short experiment that provides informative data, i.e. data that is useful for the identification of a model, particularly an initial model, of a multivariable process.
  • the bi-directional excitation experiment can be performed in a meaningful way with very minor a priori knowledge of the process.
  • a plurality of output variables may be measured.
  • the plurality of output variables may consist of all output variables of the multivariable process, or a subset thereof. For example, in some cases it may be apparent, based e.g.
  • Measuring an output variable may include performing one or more measurements of the output variable, e.g. using a sensor or other measurement device. In some embodiments, an output variable may be measured at a plurality of times while the bi-directional excitation in respect of an input variable is performed.
  • a sequence of measurements of the output variable may be performed at regular time intervals.
  • a plurality of output variables of the multivariable process may be measured in response to performing the first excitation of the input variable ur, in particular in response to setting the input variable ur at the first excited input value.
  • the plurality of output variables may be measured one or more times during the time period from the first time tr to the second time tz.
  • Figs. 4-6 show an example where three output variables yb y2 and y: are measured during at least a portion of the bi-directional excitation performed in respect of the input variable ur.
  • Figs. 4-6 show horizontal axes 410, 510, 610, respectively, representing the time parameter t, and vertical axes 420,520 and 620 representing the value of the output variables yt yz and yt, respectively.
  • the first time tr, second time tz and third time tr, which were also shown in Fig. 3, are indicated again in Figs. 4-6.
  • Plots 450, 550 and 650 of the behaviour of the respective output variables as a function of time are shown.
  • the plots 450, 550 and 650 may be obtained by performing a plurality of measurements of the output variables in question.
  • the output variables yb yz and yr have respective initial output values yrc,yzl and y:0, each being the value of the respective output variable corresponding to the initial input value uro of the input variable ur. That is to say, when the input variable ur is set to the initial input value uro (for a sufftciently long time, so that equilibrium is reached, as described herein), the multivariable process behaves in a manner such that the corresponding output values of the output variables yby2 and yr are yro, yzo and yro, respectively.
  • Each output variable yby2 and y: is provided with an associated hysteresis leveI425a-b, 525a-b and 625a-b, respectively, surrounding the respective initial output values yrc, yzl and ylo.
  • the hysteresis levels may be determined based on a noise parameter, as described herein.
  • the second time tz which is the time at which the input variable ur is set to the second excited input value (as described above with respect to Fig.3), is not a predetermined time.
  • the second time tz may depend on a response of at least one, and a priori unknown, output variable among the plurality of measured output variables triggered by the first excitation.
  • the first duration342 which is the duration of time between setting the input variable ur to the first excited input value and setting the input variable ur to the second excited input value, is not a predetermined duration.
  • the first duration342 may depend on a response of at least one output variable among the plurality of measured output variables triggered by the first excitation.
  • the output variable yr shows only a mild response after the first time tr, i.e.
  • the response of the output variable yz is more significant.
  • the value of yz reaches the associated hysteresis level 525a-b at the second time tz, as indicated at 552.
  • the response of the output variable yr is also significant, but the value of yr reaches the associated hysteresis level625a-b substantially after the second time tz, as indicated at 652.
  • a hysteresis exceeding output variable is identified among the plurality of measured output variables (in this example the output variables Vtyz andy:).
  • the hysteresis exceeding output variable is an output variable that exceeds the associated hysteresis level in response to the first excitation of the input variable ur.
  • Which particular output variable among the plurality of measured output variables is the hysteresis exceeding variable is a priori unknown.
  • the hysteresis exceeding output variable is identified by inspecting the behaviour of the plurality of measured output variables in response to the first excitation of the input variable ur.
  • the plurality of measured output variables may include several output variables that exceed the associated hysteresis level in response to the first excitation of the input variable ur.
  • the hysteresis exceeding output variable may be identified to be the first (i.e. chronologically the first) output variable among the measured output variables to exceed the associated hysteresis level. Accordingly, with respect to the example shown Figs.
  • the hysteresis exceeding output variable may be identified to be the output variable y2, since the output variable yz reaches the associated hysteresis level at the second time h, whereas the output variable yr does not reach the associated hysteresis level at all and the output variable y: only reaches the associated hysteresis level at a time later than the second time tz.
  • the hysteresis exceeding output variable does not necessarily have to be the first output variable to exceed the associated hysteresis level.
  • the first output variable to exceed the associated hysteresis level is, for reasons that may be apparent from the design of the system, not critical for the purpose of the bi-directional excitation experiment performed in respect of the input variable under consideration.
  • said output variable may be disregarded, and the hysteresis exceeding output variable may be another output variable, for example the chronologically second output variable to exceed the associated hysteresis level.
  • the second time tz being the time at which the input variable ur is set to the second excited input value, depends on, or is determined by, the time at which the hysteresis exceeding output variable exceeds the associated hysteresis level. In particular, both times may be substantially the same.
  • the input variable ul may be set to the second excited input value substantially at the time when it is determined that the hysteresis exceeding output variable has reached or exceeded the associated hysteresis level.
  • the output variable yz i.e.
  • the input variable ur may be set to the second excited input value at substantially the second time tz.
  • the behaviour of a plurality of output variables is monitored, and when the first output variable among these monitored output variables exceeds the associated hysteresis level, the input variable ur is set to the second excited input value (second excitation).
  • embodiments described herein involve monitoring the response of a plurality of output variables with respect to an excitation of one of the input variables, wherein the time at which second excitation of the input variable is started is determined by a response of an a priori unknown output variable among the measured output variables.
  • Embodiments described herein thereby involve a "global" monitoring of the output variables during the excitation experiment.
  • An advantage is that the most significant output variable responding to an excitation can be identified more easily.
  • the system can in a loose manner be said to operate under feedback, assuring that no output is allowed to grow too large.
  • embodiments desuibed herein thereby differ from experiments where the response of a fixed, pre-selected, output variable is monitored.
  • the value of the input variable under consideration may be changed from the second excited input value to the final input value at the third time t:.
  • the input variable may be substantially maintained at the second excited input value from the second time tz to the third time t:.
  • the second duration 344 of the time period from the second time tz to the third time t: may be a predetermined duration.
  • the term oopredetermined may be understood in the sense that the second duration 344 may be independent of a behaviour of the output variables in response to setting the input variable at the second excited input value.
  • the second duration 344 may already be fixed.
  • the second duration 344 may be set to be equal to the first duration 342.
  • the second duration 344 may be a function of, or may be determined by, the first duration342. 100621
  • the second duration 344 may be determined based on different considerations than the first duration 342. Whereas the first duration342 may depend on a response of the system, it may be the case that the second duration 344 does not depend on such response.
  • the method according to embodiments described herein does not wait until the hysteresis exceeding output variable exceeds the associated hysteresis level a second time before switching from the second excited input value to the final input value.
  • the output variable yz exceeds the hysteresis level 525a-b at a time after the third time t3, as indicated at 554.
  • the input variable ul may be set to the final input value at the third time t:, before the output variable yz exceeds the hysteresis level 525a-b, and in particular independently thereof.
  • the input variable under consideration is set to the final input value.
  • the input variable may be maintained substantially at the final input value at least until the measured output variables, particularly all output variables of the multivariable process, have reached a value that stays within a range having a prescribed width over a period of time.
  • the prescribed width associated with an output variable may be configured to represent a stabilization of the output variable to a state of equilibrium.
  • the prescribed width may be the width parameter e of the hysteresis level associated with the respective output variable.
  • the value yi,nnur may be equal to the reference values yio based on which the hysteresis levels 425a-b, 525a-b and 625a-b were defined, or may be a different value. The latter may be the case, for example, if the multivariable process is an integrating process.
  • the bi-directional excitation experiment in relation to the first input variable ur may end.
  • the method described herein may include collecting input data during at least a portion of the bi-directional excitation experiment.
  • the input data may include one or more input values of the input variable ur under consideration during the experiment.
  • the method may include any of the following, and any combination thereof: collecting one or more input values of the input variable before the first time tr; collecting one or more input values of the input variable from the first time tr to the second time tz; collecting one or more input values of the input variable from the second time tz to the third time tl; md collecting one or more input values of the input variable after the third time tr.
  • the method described herein may include collecting measurement data resulting from one or more measurements, particularly aplurality of measurements, performed during at least a portion of the bi-directional excitation experiment.
  • the method may include any of the following, and any combination thereof: performing one or more measurements of one or more output variables of the plurality of output variables (e.g.
  • Measurement data resulting from the measurement(s) may be collected.
  • the method may include any of the following, and any combination thereof: performing one or more measurements of the hysteresis exceeding output variable before the first time tr; performing one or more measurements of the hysteresis exceeding output variable from the first time tr to the second time b; performing one or more measursments of the hysteresis exceeding output variable from the second time tz to the third time t3; performing one or more measurements of the hysteresis exceeding output variable after the third time t:. Measurement data resulting from the measurement(s) may be collected.
  • the method may proceed by selecting a second input variable uz from the set of input variables and performing a bi-directional excitation experiment in respect of said second input variable, analogous to the experiment described above in respect of the first input variable ur.
  • the method may proceed accordingly by performing a bi-directional excitation experiment for all input variables of the set of input variables. It shall be understood that the aspects described above for the bi- directional excitation experiment relating to the first input variable ur also apply to each bi-directional excitation experiment relating to any other input variable.
  • Fig. 7 provides a further illustration of a bi-directional excitation experiment as described herein. The experiment is performed in respect of an arbitrary input variable ui.
  • the bi-directional excitation of said input variable may have a form as described herein, e.g. as shown in Fig. 3.
  • a plurality of output 2u 40 variables yr to yn may be measured during the experiment.
  • the initial output value of output variable yt is denoted by yro in Fig.7 , for each k ranging from 1 to n.
  • the value of output variable yr ⁇ at time t is denoted by yr(t).
  • Associated with each output variable yr is a parameter er defining the respective hysteresis level.
  • the response of each of the output variables yr to yn may be monitored.
  • the second excitation of the input variable ui may be started at box 702. Particularly, at such time, the input variable ui may be set to the second excited input value. Further, in an example, the duration of the second excitation (second duration 344) may be taken to be the same as the duration of the first excitation (first duration 342), or at least may be a predetermined function thereof.
  • the bi-directional excitation experiments according to the present disclosure are simple, short experiments that provide informative data that is useful for the identification of a model of a multivariable process.
  • a model of at least a portion of the multivariable process may be determined.
  • the model may be based on input data and measurement data from at least one of the bi-directional excitation experiments.
  • the model may be an initial model as described herein.
  • the model may include, for at least one, particularly each, input-output pair (ui, y.;) consisting of an input variable ui and an output variable y; of the multivariable process, an associated transfer function.
  • the output variable yj may be the hysteresis exceeding output variable identified in the bi-directional excitation experiment performed with regard to the input variable ui, or may be any other output variable.
  • the transfer function may be a first order transfer function with a delay
  • Such a transfer function may have the form :;61 K G ;r(s) e -s/, where K, L and T are a priori unknown parameters of the transfer function.
  • the parameters K, L and T may depend on i and j, but this dependency is not shown in the above formula for ease of presentation.
  • the parameters in question may be estimated based on the measurement data collected in the respective excitation experiment(s).
  • the set of transfer functions Qi(s) may form an initial model of the multivariable process.
  • the initial model may form the basis for determining a more detailed model, by performing further measurements of the process.
  • the model such a model involving transfer functions of the kind described above, may be determined from the measurement data using a plurality of commercially known techniques. For exampl e,the delayest and armax tools from the Matlab System Identification toolbox may be used for this purpose.
  • the delayest and armax tools from the Matlab System Identification toolbox may be used for this purpose.
  • an example of one possible approach for determining a transfer function G:i(s) is provided. The disclosure is not limited thereto, and it shall be understood that several other approaches are possible. 100771 For determining the transfer function Qi(s), it is beneficial to consider a corresponding discrete time transfer function Fli(q).
  • the transfer function I ⁇ :i(q) has the form where Q-1 is the backwards shift operator, d is the delay in samples, and bp and a are parameters. There are three b-paramters to compensate for apotential inaccurate estimation of the delay d. Evidently, once Fli(q) is determined, G;i(s) can be determined as well since both transfer functions can be mapped to each other. [0078] The bi-directional excitation experiment relating to the input variable ui, as well as the measurement data obtained during said excitation experiment, are considered.
  • the excitation experiment may involve the input data sequence (where the index i is omitted for ease of presentation) u (k) u(k + tt) u(k + 2h) u(k + Ntt), where k may be a time shortly before the first time tr (where tr is the time when the input variable is set to the first excited input value), h is a sampling interval and N is a constant such that k + Nh represents a time near the end of the experiment relating to the input variable ui.
  • the measurement data that is considered may involve a plurality of measurements of the output variable yj performed during the experiment, represented by an output data sequence (where the index j is omitted) y(k) y(k + tt) y(k + 2h) y(k + Nh)
  • the output variable yj may be the hysteresis exceeding output variable identified in said experiment, or may be a different output variable.
  • the output sequencs may be assumed to be noisy and may be filtered through a non-casual filter with zero phase distortion to keep the waveform.
  • the modeling may be done in two steps using the input and the output data sequences. [0082] First, the time delay may be estimated.
  • a method of collecting data for process identification of a multivariable process includes, for each input variable of a set of input variables of the muitivariabie process, performing a bi-directional excitation experiment. Performing the bi- directional excitation experiment includes setting the input variable at an initial input value.
  • Performing the bi-directional excitation experiment includes performing a first excitation of the input variable, comprising setting the input variable at a first excited input value at a hrst time, wherein the first excited input value differs from the initial input value by a first amount.
  • Performing the bi- directional excitation experiment includes measuring a plurality of output variables of the multivariable process in response to performing the first excitation. A respective hysteresis level is associated to each of the measured output variables.
  • Performing the bi-directional excitation experiment includes identifuing a hysteresis exceeding output variable among the measured plurality of output variables, wherein the hysteresis exceeding output variable is an output variable having a measured value that exceeds the hysteresis level associated with the output variable.
  • Performing the bi-directional excitation experiment includes performing a second excitation of the input variable in response to identifying the hysteresis exceeding output variable, wherein performing the second excitation comprises setting the input variable at a second excited input value at a second time.
  • the second excited input value differs from the initial input value by a second amount.
  • the first amount and the second amount have opposite signs.
  • Performing the bi- directional excitation experiment includes measuring at least the hysteresis exceeding output variable in response to performing the second excitation.
  • Performing the bi-directional excitation experiment includes setting the input variable at afrnal input value at a third time after the second time.
  • the plurality of output variables is measured in response to performing the first excitation of the input variable under consideration can be understood in the sense that the output variables in question are measured after the first excitation has started, in particular after the input variable has been set to the first excited input value (in other words after the first time tr).
  • the measured plurality of output variables may consist of all output variables of the multivariable process. Accordingly, all output variables may be measured in response to performing the first excitation.
  • the hysteresis exceeding output variable may be an a priori unknown output variable among the plurality of measured output variables.
  • Identi$ing the hysteresis exceeding output variable may include determining which output variable among the plurality of measured output variables is the hysteresis exceeding output variable based on measured values obtained by the measuring of the plurality of output variables.
  • the time period from the second time to the third time may have a pre-determined duration.
  • the time period from the first time to the second time has a first duration and the pre-determined duration of the time period from the second time to the third time is a second duration, wherein the second duration may be a function of the first duration.
  • the second duration may be substantially equal to the first duration.
  • the hysteresis exceeding output variable may be the first output variable among the measured plurality of output variables to exceed the associated hysteresis level in response to performing the first excitation.
  • the input variable under consideration may be maintained substantially at the final input value at least until each output variable of the measured plurality of output variables stays within a range having a prescribed width over a period of time.
  • the method may include, for each output variable of a set of output variables of the multivariable process, determining the hysteresis level associated with the output variable based on a noise parameter.
  • the method may include maintaining the input variable under consideration at substantially the first excited input value from the first time to the second time. Additionally or alternatively, the method may include maintaining the input variable at substantially the second excited input value from the second time to the third time.
  • the second amount may be a function of the first amount.
  • a method of model identification of a multivariable process is provided. The method includes performing the method of collecting data according to any of the embodiments described herein. The method includes determining a model of at least a portion of the multivariable process based on measurement data obtained from measuring one or more output variables during at least one of the bi-directional excitation experiments.
  • the model may include, for at least one input- output pair consisting of an input variable and an output variable of the multivariable process, a first order transfer function with a delay. Determining the model may include determining at least one parameter of the first order transfer function based on the measurement data.
  • an apparatus 800 for collecting data for process identification of a multivariable process 100 is provided.
  • the apparatus 800 includes one or more input devices 810.
  • the apparatus includes one or more measurement devices 820.
  • the apparatus includes a control system 850 connected to the one or more input devices 810 and the one or more measuremsnt devices 820.
  • the apparatus 800 is configured to perform, for each input variable of a set of input variables of the multivariable process, a bi-directional excitation experiment under the control of the control system 850.
  • the bi-directional excitation experiment includes setting the input variable at an initial input value using an input device 810.
  • the bi-directional excitation experiment includes performing a first excitation of the input variable, comprising setting the input variable at a first excited input value at a hrst time using the input device 810, wherein the first excited input value differs from the initial input value by a first amount.
  • the bi-directional excitation experiment includes measuring a plurality of output variables of the multivariable process in response to performing the first excitation, wherein each output variable is measured using a measurement device 820, wherein a respective hysteresis level is associated to each of the measured output variables.
  • the bi-directional excitation experiment includes identifying a hysteresis exceeding output variable among the measured plurality of output variables, wherein the hysteresis exceeding output variable is an output variable having a measured value that exceeds the hysteresis level associated with the output variable.
  • the bi-directional excitation experiment includes performing a second excitation of the input variable in response to identifying the hysteresis exceeding output variable, wherein performing the second excitation comprises setting the input variable at a second excited input value at a second time using the input device 810, wherein the second excited input value differs from the initial input value by a second amount, wherein the first amount and the second amount have opposite signs.
  • the bi-directional excitation experiment includes measuring at least the hysteresis exceeding output variable using a measurement device 820 in response to performing the second excitation.
  • the bi-directional excitation experiment includes setting the input variable at a final input value at a third time after the second time using the input device.
  • the apparatus may be configured for performing any aspect or combination of aspects of the methods described herein.
  • An input device as described herein can be any input device suitable for setting or adjusting one or more input variables to a specified value.
  • An input device can be an input actuator.
  • a measurement device as described herein can be any measurement device, such as a sensor, detector or the like, for measuring a value of one or more output variables.
  • the control system, or controller may be a single system or a distributed system including aplurality of individual controllers.
  • a control system may include one or more computers or processors for processing data supplied to the control system.
  • control system may be configured, for each output variable of a set of output variables of the multivariable process, for determining the hysteresis level associated with the output variable based on a noise parameter.
  • apparatus may be configured, e.g. under the control of the control system, for: maintaining the input variable under consideration at substantially the first excited input value from the first time to the second time; and/or maintaining the input variable at substantially the second excited input value from the second time to the third time.
  • the apparatus and in particular the control system, may be configured for determining a model of at least a portion of the multivariable process based on measurement data obtained from measuring one or more output variables during at least one of the bi-directional excitation experiments.
  • a computer program for collecting data for process identification of a multivariable process includes instructions which, when the program is executed by a computer, cause the computer to perform, for each input variable of a set of input variables of the multivariable process, a set of operations.
  • the set of operations includes receiving first measurement data resulting from measuring a plurality of output variables of the multivariable process in response to performing a first excitation of the input variable, wherein performing the first excitation comprises setting the input variable at a first excited input value at a first time, wherein the first excited input value differs from an initial input value of the input variable by a first amount, wherein a respective hysteresis level is associated to each of the measured output variables.
  • the set of operations includes identifying a hysteresis exceeding output variable among the measured plurality of output variables based on the first measurement data, wherein the hysteresis exceeding output variable is an output variable having a measured value that exceeds the hysteresis level associated with the output variable.
  • the set of operations includes receiving second measurement data resulting from measuring at least the hysteresis exceeding output variable in response to performing a second excitation of the input variable, wherein performing the second excitation comprises setting the input variable at a second excited input value at a second time in response to identiffing the hysteresis exceeding output variable, wherein the second excited input value differs from the initial input value by a second amount, wherein the f,rrst amount and the second amount have opposite signs.
  • the computer program may be configured to perform any computer- implementable aspect or combination of aspects of the methods described herein.
  • the computer program may include instructions which, when the program is executed by a computer, cause the computer to perform, for each input variable of a set of input variables of the multivariable process, any one the following operations, or any combination thereof: determining the initial input value of the input variable; determining the first excited input value of the input variable; determining the first time; determining the second excited input value of the input variable; determining the second time; determining the hnal input value of the input variable; and determining the third time.
  • the computer program may include instructions which, when the program is executed by a computer, cause the computer, for each output variable of a set of output variables of the multivariable process, to determine the hysteresis level associated with the output variable based on a noise parameter.
  • the computer program may include instructions which, when the program is executed by a computer, cause the computer to determine a model of at least a portion of the multivariable process based on at least the first measurement data and the second measurement data.
  • the terms "computer”, “processor” and “controller”, and related terms are not limited to just those integrated circuits referred to in the art as a computer, but broadly refers to a microcontroller, a microcomputer, an analog computer, a programmable logic controller (PLC), an application specific integrated circuit (ASIC), and other programmable circuits, and these terms are used interchangeably herein.
  • “memory” may include, but is not limited to, a computer-readable medium, such as a random-access memory (RAM), a computer-readable non-volatile medium, such as a flash memory.
  • additional input channels may be, but are not limited to, computer peripherals associated with an operator interface such as a touchscreen, a mouse, and a keyboard. Altematively, other computer peripherals may also be used that may include, for example, but not be limited to, a scanner.
  • additional output channels may include, but not be limited to, an operator interface monitor or heads- up display.
  • Such devices typically include a processor, processing device, or controller, such as a general-purpose central processing unit (CPU), a graphics processing unit (GPU), a microcontroller, a reduced instruction set computer (RISC) processor, an ASIC, a programmable logic controller (PLC), a field programmable gate array (FPGA), a digital signal processing (DSP) device, andlor any other circuit or processing device capable of executing the functions described herein.
  • the methods described herein may be encoded as executable instructions embodied in a computer readable medium, including, without limitation, a storage device and/or a memory device. Such instructions, when executed by a processing device, cause the processing device to perform at least a portion of the methods described herein.
  • REFERENCE NUMERALS multivariable process 100 input variable 110 output variable 120 horizontal axis 210 time 2t2 time 214 time 2t6 vertical axis 220 plot 250 horizontal axis 310 vertical axis 320 initial input value 321 final input value 321 first excited input value 322 second excited input value 324 first amount 332 second amount 334 first duration 342 second duration 344 plot 3s0 horizontal axis 410 vertical axis 420 hysteresis level 425a-b plot 450 horizontal axis 510 vertical axis s20 hysteresis level 525a-b plot 550 horizontal axis 610 vertical axis 620 hysteresis level 625a-b plot 650 box 702 apparatus 800 input device 810 measurement device 820 control system 850

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Abstract

A method of collecting data for process identification of a multivariable process is provided. The method includes, for each input variable of a set of input variables of the multivariable process, performing a bi-directional excitation experiment. The bi-directional excitation experiment includes setting the input variable at an initial input value. The bi-directional excitation experiment includes performing a first excitation of the input variable, comprising setting the input variable at a first excited input value at a first time, wherein the first excited input value differs from the initial input value by a first amount. The bi-directional excitation experiment includes measuring a plurality of output variables of the multivariable process in response to performing the first excitation, wherein a respective hysteresis level is associated to each of the measured output variables. The bi-directional excitation experiment includes identifying a hysteresis exceeding output variable among the measured plurality of output variables, wherein the hysteresis exceeding output variable is an output variable having a measured value that exceeds the hysteresis level associated with the output variable. The bi-directional excitation experiment includes performing a second excitation of the input variable in response to identifying the hysteresis exceeding output variable, wherein performing the second excitation comprises setting the input variable at a second excited input value at a second time, wherein the second excited input value differs from the initial input value by a second amount, wherein the first amount and the second amount have opposite signs. The bi-directional excitation experiment includes measuring at least the hysteresis exceeding output variable in response to performing the second excitation. The bi-directional excitation experiment includes setting the input variable at a final input value at a third time after the second time.

Description

METHOD OF COLLECTING DATA FOR PROCESS IDENTIFICATION OF A MULTIVARIABLE PROCESS FIELD [0001] Embodiments of the present disclosure relate to methods and apparatuses for collecting data for model identification of an industrial process. The methods described herein involve performing experiments where a response of the output variables ofthe system to excitations of the input variables is measured, and a model of the process is determined based on said experiments. BACKGROUND [0002] In many applications, it is important to design a mathematical model of an a priori unknown industrial process. An industrial process may have one or more inputs and one or more outputs. The inputs may be set to suitable values, which may trigger a response of one or more outputs of the system. For example, increasing the value of an input variable may cause a corresponding increase of one or more outputs of the process. The mathematical relationship between the behaviour of the outputs as a function of the inputs may be captured, at least approximately,by a model of the process. [0003] In order to allow designing a model that correctly describes the behaviour of a process, data about said behaviour can be collected by performing measurements. For example, the inputs of the process may be set to a plurality of values, and the response of the outputs thereto may be measured. Based on the measured data, amodel of the process may be constructed. [0004] A challenging task in this respect is to design suitable experiments that reveal a sufficient amount of information about the process to enable the design of an accurate model. At the same time, such experiments should not become too complex or time-consuming. That is to say, it is beneficial to design simple experiments that allow extracting useful information about the process while perturbing the normal operation of the process as little as possible. [0005] For single-input-single-output processes, convenient experiments have been designed in the past that reveal useful information about the process based on a limited amount of measurements, and that hence allow constructing a model of the process in an efficient manner. [0006] For processes having multiple inputs and outputs, the task in question is however considerably more challenging, in light of the increased number of degrees of freedom involved in such systems. Therefore, there is a need for improved methods for gathering data for model identification of multivariable processes. SUMMARY [0007] According to an embodiment, a method of collecting data for process identification of a multivariable process is provided. The method includes, for each input variable of a set of input variables of the multivariable process, performing a bi-directional excitation experiment. Performing the bi-directional excitation experiment includes setting the input variable at an initial input value. Performing the bi-directional excitation experiment includes performing a first excitation of the input variable, comprising setting the input variable at a first excited input value at a first time, wherein the first excited input value differs from the initial input value by a first amount. Performing the bi-directional excitation experiment includes measuring a plurality of output variables of the multivariable process in response to performing the hrst excitation. A respective hysteresis level is associated to each of the measured output variables. Performing the bi-directional excitation experiment includes identifying a hysteresis exceeding output variable among the measured plurality of output variables, wherein the hysteresis exceeding output variable is an output variable having a measured value that exceeds the hysteresis level associated with the output variable. Performing the bi-directional excitation experiment includes performing a second excitation of the input variable in response to identiffing the hysteresis exceeding output variable, wherein performing the second excitation comprises setting the input variable at a second excited input value at a second time. The second excited input value differs from the initial input value by a second amount. The first amount and the second amount have opposite signs. Performing the bi-directional excitation experiment includes measuring at least the hysteresis exceeding output variable in response to performing the second excitation. Performing the bi-directional excitation experiment includes setting the input variable at a final input value at a third time after the second time. [0008] According to a further embodiment, a method of model identification of a multivariable process is provided. The method includes performing the method of collecting data according to any of the embodiments described herein. The method includes determining amodel of at least aportion ofthe'multivariable process based on measurement data obtained from measuring one or more output variables during at least one of the bi-directional excitation experiments. [0009] According to a further embodiment, an apparatus for collecting data for process identification of a multivariable process is provided. The apparatus includes one or more input devices. The apparatus includes one or more measurement devices. The apparatus includes a control system connected to the one or more input devices and the one or more measurement devices. The apparatus is configured to perform, for each input variable of a set of input variables of the multivariable process, a bi-directional excitation experiment under the control of the control system. The bi-directional excitation experiment includes setting the input variable at an initial input value using an input device. The bi-directional excitation experiment includes performing a first excitation of the input variable, comprising setting the input variable at a first excited input value at a first time using the input device, wherein the first excited input value differs from the initial input value by a first amount. The bi-directional excitation experiment includes measuring a plurality of output variables of the multivariable process in response to performing the first excitation, wherein each output variable is measured using a measurement device, wherein a respective hysteresis level is associated to each of the measured output variables. The bi-directional excitation experiment includes identifying a hysteresis exceeding output variable among the measured plurality of output variables, wherein the hysteresis exceeding output variable is an output variable having a measured value that exceeds the hysteresis level associated with the output variable. The bi-directional excitation experiment includes performing a second excitation of the input variable in response to identifying the hysteresis exceeding output variable, wherein performing the second excitation comprises setting the input variable at a second excited input value at a second time using the input device, wherein the second excited input value differs from the initial input value by a second amount, wherein the first amount and the second amount have opposite signs. The bi-directional excitation experiment includes measuring at least the hysteresis exceeding output variable using a measurement device in response to performing the second excitation. The bi-directional excitation experiment includes setting the input variable at a frnal input value at a third time after the second time using the input device. [0010] According to a further embodiment, a computer program for collecting data for process identification of a multivariable process is provided. The computer program includes instructions which, when the program is executed by a computer, cause the computer to perform, for each input variable of a set of input variables of the multivariable process, a set of instructions. The set of instructions includes receiving first measurement data resulting from measuring a plurality of output variables of the multivariable process in response to performing a first excitation of the input variable, wherein performing the first excitation comprises setting the input variable at a first excited input value at a first time, wherein the first excited input value differs from an initial input value of the input variable by a first amount, wherein a respective hysteresis level is associated to each of the measured output variables. The set of instructions includes identifying a hysteresis exceeding output variable among the measured plurality of output variables based on the first measurement data, wherein the hysteresis exceeding output variable is an output variable having a measured value that exceeds the hysteresis level associated with the output variable. The set of instructions includes receiving second measurement data resulting from measuring at least the hysteresis exceeding output variable in response to performing a second excitation of the input variable, wherein performing the second excitation comprises setting the input variable at a second excited input value at a second time in response to identifuing the hysteresis exceeding output variable, wherein the second excited input value differs from the initial input value by a second amount, wherein the first amount and the second amount have opposite signs. BRIEF DESCRIPTION OF THE DRAWINGS [0011] The components in the Figures are not necessarily to scale, instead emphasis being placed upon illustrating the principles of the invention. Moreover, in the Figures, like reference signs designate corresponding parts. The accompanying drawings relate to embodiments of the disclosure and are described in the following: Fig. I shows an example of a multivariable process as considered in the present disclosure; Fig.2 illustrates the notion of hysteresis as considered in the present disclosure; Fig. 3 illustrates abi-directional excitation of an input variable as considered in the present disclosure; Figs.4-6 show a behaviour of output variables yb y2 and y: during a bi- directional excitation experiment as considered in the present disclosure; Fig.7 provides a further illustration of a bi-directional excitation experiment as considered in the present disclosure; and Fig.8 shows an apparatus for collecting data for process identification of a multivariable process as considered in the present disclosure. DETAILED DESCRIPTION [0012] Reference will now be made in detail to the various embodiments, one or more examples of which are illustrated in each figure. Each example is provided by way of explanation and is not meant as a limitation. For example, features illustrated or described as part of one embodiment can be used on or in conjunction with any other embodiment to yield yet a further embodiment. It is intended that the present disclosure includes such modifications and variations. [0013] Within the following description of the drawings, the same reference numbers refer to the same or to similar components. Generally, only the differences with respect to the individual embodiments are described. Unless specified otherwise, the description of a part or aspect in one embodiment can apply to a corresponding part or aspect in another embodiment as well. [0014] Fig.1 shows an example of a multivariable process 100 having input variables I l0 and output variables 120. [0015] The input variables of a multivariable process are denoted herein as ul, u2, .... The output variables are denoted as yr, y2, ....An input variable may take different values, such as values lying within a certain numerical range. A value taken by an input variable is sometimes referred to herein as an input value of the input variable, e.g. in cases where it is useful to emphasizethatthevalue in question is associated with an input variable. Likewise, an output variable may take different values, which may be called output values. [0016] A multivariable process as described herein may be an industrial process, e.g. a process performed in an industrial plant. Embodiments described herein are not limited to specific examples of industrial process, but are generally applicable to any kind of industrial process. [0017] A multivariable process as described herein can be understood as a process having N input variables and M output variables, wherein at least one of N and M is greater than l. According to embodiments, the multivariable process includes a plurality of input variables and a plurality of output variables. The number of input variables of the multivariable process may be equal to or different from the number of output variables of the multivariable process. The number of input variables and/or the number of output variables may be 5 or larger, particularly 16 or larger, more particularly 32 or larger. The number of input/output variables shown in the hgures is exemplary and the disclosure is not limited thereto. [0018] An input variable of the multivariable process may be a variable that is adjustable or controllable. The input variable may be set at a specific value, e.g. by an input device. Adjusting an input variable may result in a response of one or more output variables of the multivariable process. The response of an output variable may be measured, e.g. by a sensor. According to embodiments described herein, adjusting an input variable may cause a response of several, in particular all, output variables of the multivariable process. [0019] A multivariable process as described herein may have a behaviour, or dynamics, that is at least partially unknown. An aim may be to design a model describing the multivariable process, such as a mathematical model desuibing a relation between the inputs and outputs of the multivariable process. A model may be designed based on measured data obtained by performing one or more experiments with respect to the multivariable process. The task of designing a model can include an initial phase of designing an initial model of the process. The initial model may be a crude model, or approximative model, that captures at least some characteristics of the process. After the initial model has been designed, the initial model may be used to construct a more detailed experiment for the process. [0020] An initial crude model may be beneficial in many situations for the commissioning of a multivariable controller. A typical example is when designing an identification experiment to be used to generate data for the identification of a dynamical model. [0021] Embodiments described herein may be beneficial for the design of an initial model of a multivariable process. The present disclosure provides experiments that are useful for revealing at least some characteristics of the multivariable process. The experiments in question involve exciting (a subset of) the input variables of the multivariable process according to a specific kind of excitation and measuring the response of (a subset of) the output variables. 100221 The experiments described herein involve the notion of hysteresis. A respective hysteresis level may be associated with at least some, particular all, output variables of the multivariable process. A hysteresis level associated with an output variable can be understood as a width parameter e that determines a range, or interval, for the output variable. As long as the value of the output variable remains inside said range, it may be the case that no reaction in terms of an adjustment of the input variables is triggered, i.e. the multivariable process may continue without changing the values of the input variables. If the value of the output variable leaves said range, a reaction, such as an adjustment of the values of one or more input variables, may be triggered in response thereto. [0023] Fig.2 illustrates the notion of hysteresis as considered in the present disclosure. A plot 250 of the behaviour an output variable yi as a function of time is shown. The output variable yi can be any arbitrary output variable of the multivariable process. The horizontal axis 210 represents a time parameter t. The vertical axis 220 represents the value of the output variable yi. A hysteresis level (225a,225b) defined by a width parameter s may be associated with the output variable yi. At an initial time t: 0, the value of yi may be yio. The value yto can be any suitable value depending on the context and is not limited to any specific value. The value yio can, for example, be a referencs value that is targeted for the output variable yiby setting a specific combination of values of the input variables, or can be an equilibrium value of the output variable yi that is reached when maintaining the input variables at certain values for a longer period of time. The width parameter e defines an interval lyio - e, ]io + e] surrounding the value yio. When the value of the output variable yi is outside said interval, the hysteresis level (225a,225b) is said to be exceeded. For example, at time 214 andtime2l6,the corresponding value of yt indicated at254 and256 is smaller than yio - t , respectively larger than yio f e. In both cases, the hysteresis level associated with yiis said to be exceeded. At time 212, the corresponding value of yi indicated at252lies inside the interval [yio - t, yio * e], so that the hysteresis level is not exceeded. 10024] The respective hysteresis levels associated with different output variables may be different from each other. A first hysteresis level may be associated with a hrst output variable of the multivariable process. A second hysteresis level may be associated with a second output variable of the multivariable process. The first hysteresis level may be different from the second hysteresis level. [0025] According to embodiments described herein, the hysteresis level associated with an output variable can be determined based on a noise parameter associated with the output variable. The output variable may be subject to noise. The noise may cause fluctuations of the output parameter. The fluctuations of the output variable may arise even though the input parameters may be maintained at constant values. A hysteresis level may be set to compensate for noise fluctuations of the output variable. For example, the width parameter r may be set to be a multiple of a standard deviation of the noise acting on the output variable, such as 3-4 times the standard deviation, or may be a multiple of a peak noise, such as 3-4 times the peak noise. Both the standard deviation of the noise and the peak noise are examples of a noise parameter as described herein. By setting a hysteresis level in this manner, fluctuations of the output variable that are caused by noise will mostly remain inside the hysteresis level, and hence do not trigger an adjustment of the values of the input variables, in other words small fluctuations that are merely due to noise fluctuations do not cause a reaction of the system. [0026] Embodiments desuibed herein may include maintaining at least some, particularly all, input variables of the multivariable process at a substantially constant value over a period of time. The period of time may be configured to allow at least some, particularly all, output variables to reach an equilibrium state. An equilibrium state of an output value can be understood as a state where the value of the output variable remains substantially constant apart from small fluctuations that may be due to noise. The method described herein may include determining a noise parameter for at least some, particularly all, output variables. A noise parameter associated with an output variable, such as a standard deviation of noise or a peak noise, may be determined by performing one or more measurements of the output variable while the input variables at maintained at their substantially constant values. For example, the one or more measurements may involve determining fluctuations of the output variable due to noise. A hysteresis level associated with the output variable may be determined based on the noise parameter, as described herein. [00271 According to embodiments described herein, a set of input variables of the multivariable process is determined. The set of input variables may consist of all input variables of the multivariable process or a subset thereof. The set of input variables includes a plurality of input variables, such as 2 or more, 5 or more, or l0 or more input variables, or an even higher number of input variables. For each input variable ut in the set of input variables, an experiment is performed in which data regarding the behaviour of the multivariable process is gathered. The experiment involves exciting the multivariable system by a bi-directional excitation and measuring the response of the system to the excitation. [0028] The method described herein may include selecting a first input variable ur from the set of input variables. The first input variable ur can be any input variable of set of input variables and, more generally, can be any input variable of r0140 the multivariable process. With respect to the first input variable ur, a bi-directional excitation experiment may be performed. [0029] Fig.3 illustrates a bi-directional excitation associated with the input variable ur. The term "bi-directional" refers to the fact that two excitations in opposite directions (namely, the "first excitation" and the oosecond excitation" as described herein) are performed, i.e. an upward/positive excitation followed by a downward/negative excitation or vice versa, as explained in further detail below. [0030] In Fig. 3, a plot 350 of the value of the input variable ur as a function of time is shown. The horizontal axis 310 represents a time parameter t. The vertical axis 320 represents the value of the input variable ur. [0031] An at initial time t:0, the input variable ur may be set at an initial input value uro, indicated at 321. The initial input value uro can be an arbitrary value chosen for the purpose of the experiment. [0032] A first excitation of the input variable ur is performed. The value of the input variable ur may be increased (e.g. according to a monotonously increasing function, such as an exponential function) until a first excited input value u16 * A, indicated at322, is reached at a first time tr, indicated at3l2. The first excited input value may be chosen to be a sufficiently large value, so that a response of at least one output variable of the process can be expected to occur, for example in light of a basic a priori knowledge of the multivariable process. The first excited input value uro f A differs from the initial input value uro by a first amount A, indicated at332. In the example shown in Fig. 3, the first amount A is a positive amount, so that the first excited input value is larger than the initial input value uro. [0033] In some embodiments, the input variable ul may be maintained substantially at the first excited input value uro * A from the first time tr to a second time tz indicated at 314. The first excitation may end at substantially the second time tz. That the input variable ur is maintained substantially at the first excited input value ulo + A may include deviations with respect to the first excited input tU 40 value uro + A of, for example,5-l0Yo of the value uro + A. The time period from the first time tr to the second time tz has a first duration 342. According to embodiments described herein, the first duration 342 is determined by a response of one or more output variables, as described in more detail below. [0034] A second excitation of the input variable ur is performed. At the second time tz, the input variable ur is set to a second excited input value, indicated at324. In particular, at the second time tz, the value of the input variable ur may be changed from substantially the first excited input value to the second excited input value. The second excited input value may differ from the initial input value uro by a second amount, indicated at 334. The second amount and the first amount have opposite signs, so that the excitations are bi-directional. The second amount may be a negative amount, such that the second excited input value is smaller than the initial input value uro. In the particular example, the second excited input value is equal to rto- 24. Accordingly, the absolute value of the second amount is twice the absolute value of the first amount. The disclosure is not limited thereto, and different magnitudes of the second amount may be considered. [0035] In some embodiments, the input variable ul may be maintained substantially at the second excited input value from the second time tz to a third time tl indicated at3l6. The time period from the second time tz to the third time t: has a second duration 344. According to embodiments described herein, the second duration 344 is a predetermined duration, as described in more detail below. The second excitation may end at substantially the third time t:. [0036] At the third time t:, the input variable ur may be set to a final input value. In particular, at the third time t:, the value of the input variable ur may be changed from substantially the second excited input value to the final input value. In the example shown, the final input value may be substantially the same (allowing, for example, deviations of 5-10%) as the initial input value uro. The input variable ur may be maintained substantially at the final input value for a period of time. [0037] An advantage of a bi-directional excitation, as described herein, is that the second excited input value, which is an excitation of the system in a direction opposite to the first excited input value, allows bringing the system back to an equilibrium state. In comparison, if both excitations were to be performed in the same direction, the system underlying the multivariable process might move away from equilibrium in an uncontrollable manner. [0038] The bidirectional excitation shown in Fig. 3 is exemplary and can be modified in several ways, including the following. [0039] The example shown in Fig. 3 involves a bi-directional excitation wherein the value of the input variable ur is first increased to the first excited input value (positive excitation) and thereafter decreased to the second excited input value (negative excitation). The disclosure is not limited thereto. In other embodiments, a bi-directional excitation may be considered wherein the value of the input variable ur is first decreased and thereafter increased, so that the first excited input value is smaller than the initial input value (negative excitation) and the second excited input value is larger than the initial input value (positive excitation). [0040] The example shown in Fig. 3 involves maintaining the input variable ur substantially at the first excited input value from the first time tr to the second time tz. The disclosure is not limited thereto. The value of the input variable may be changed during this time period. The value of the input variable u1 may, for example, be increased during at least a portion of the period from the first time tr to the second time tz. In particular, the input variable ul may be set at the first excited input value as part of a continuous ramp-up of the input variable ur that starts, for example, shortly after the initial time t : 0 and that continues after setting the input variable ur at the first excited input value. For example, the ramp-up may end shortly before, or substantially at, the second time tz. [0041] The example shown in Fig.3 involves a substantially instantaneous change from the first excited input value to the second exited input value at the second time tz. The disclosure is not limit thereto. The change from the first excited input value to the second excited input value may be a non-instantaneous change. Likewise, the change from the second excited input value to the final input value may be non-instantaneous. 100421 The example shown in Fig.3 involves a second.excited input value that is twice as large (in absolute value) as the first excited input value. The disclosure is not limited thereto. The second excited input value may, for example, have the same absolute value as the first excited input value, so that the second excited input value is uro - A. Other examples can be provided. For example, the second excited input value can be any multiple of the first excited input value, or more generally any function of the first excited input value. [0043] The example shown in Fig.3 involves a final input value that is substantially the same as the initial input value uro. The disclosure is not limited thereto. The final input value may be different from the initial input value. [0044] The inventors have found that a bi-directional excitation experiment as described above is a simple, short experiment that provides informative data, i.e. data that is useful for the identification of a model, particularly an initial model, of a multivariable process. Particularly, the bi-directional excitation experiment can be performed in a meaningful way with very minor a priori knowledge of the process. [0045] During at least a portion of the bi-directional excitation experiment performed with respect to the input variable ur, a plurality of output variables may be measured. The plurality of output variables may consist of all output variables of the multivariable process, or a subset thereof. For example, in some cases it may be apparent, based e.g. on a priori considerations, that one or more output variables are independent of the input variable ur. Such output variables may be disregarded, i.e. may not be part of the measured plurality of output variables. The plurality of output variables that is measured may depend on the input variable ur under consideration. For example, in a subsequent bi-directional excitation experiment performed with respect to another input variable ui, the plurality of output variables that is measured may be different. [0046] Measuring an output variable may include performing one or more measurements of the output variable, e.g. using a sensor or other measurement device. In some embodiments, an output variable may be measured at a plurality of times while the bi-directional excitation in respect of an input variable is performed. For example, a sequence of measurements of the output variable may be performed at regular time intervals. 100471 According to embodiments described herein, a plurality of output variables of the multivariable process may be measured in response to performing the first excitation of the input variable ur, in particular in response to setting the input variable ur at the first excited input value. The plurality of output variables may be measured one or more times during the time period from the first time tr to the second time tz. [0048] Figs. 4-6 show an example where three output variables yb y2 and y: are measured during at least a portion of the bi-directional excitation performed in respect of the input variable ur. That in the present example a total of three output variables is measured is merely for the purpose of illustration, and any number of output variables may be measured. [0049] Figs. 4-6 show horizontal axes 410, 510, 610, respectively, representing the time parameter t, and vertical axes 420,520 and 620 representing the value of the output variables yt yz and yt, respectively. The first time tr, second time tz and third time tr, which were also shown in Fig. 3, are indicated again in Figs. 4-6. Plots 450, 550 and 650 of the behaviour of the respective output variables as a function of time are shown. The plots 450, 550 and 650 may be obtained by performing a plurality of measurements of the output variables in question. [0050] At time t : 0, the output variables yb yz and yr have respective initial output values yrc,yzl and y:0, each being the value of the respective output variable corresponding to the initial input value uro of the input variable ur. That is to say, when the input variable ur is set to the initial input value uro (for a sufftciently long time, so that equilibrium is reached, as described herein), the multivariable process behaves in a manner such that the corresponding output values of the output variables yby2 and yr are yro, yzo and yro, respectively. Each output variable yby2 and y: is provided with an associated hysteresis leveI425a-b, 525a-b and 625a-b, respectively, surrounding the respective initial output values yrc, yzl and ylo. The hysteresis levels may be determined based on a noise parameter, as described herein. [0051] According to embodiments described herein, the second time tz, which is the time at which the input variable ur is set to the second excited input value (as described above with respect to Fig.3), is not a predetermined time. The second time tz may depend on a response of at least one, and a priori unknown, output variable among the plurality of measured output variables triggered by the first excitation. [0052] Accordingly, the first duration342, which is the duration of time between setting the input variable ur to the first excited input value and setting the input variable ur to the second excited input value, is not a predetermined duration. The first duration342 may depend on a response of at least one output variable among the plurality of measured output variables triggered by the first excitation. [0053] With respect to the example shown in Figs. 4-6, it can be seen in Fig. 4 that the output variable yr shows only a mild response after the first time tr, i.e. after setting the input variable ur to the first excited input value, namely a small increase of the value of yr. The response does not exceed the hysteresis level 425a-b associated with the output variable yr. In Fig. 5, the response of the output variable yz is more significant. In particular, the value of yz reaches the associated hysteresis level 525a-b at the second time tz, as indicated at 552.In Fig. 6, the response of the output variable yr is also significant, but the value of yr reaches the associated hysteresis level625a-b substantially after the second time tz, as indicated at 652. t6140 [0054] According to embodiments described herein, in response to performing the first excitation of the input variable u1, a hysteresis exceeding output variable is identified among the plurality of measured output variables (in this example the output variables Vtyz andy:). The hysteresis exceeding output variable is an output variable that exceeds the associated hysteresis level in response to the first excitation of the input variable ur. Which particular output variable among the plurality of measured output variables is the hysteresis exceeding variable is a priori unknown. The hysteresis exceeding output variable is identified by inspecting the behaviour of the plurality of measured output variables in response to the first excitation of the input variable ur. [0055] The plurality of measured output variables may include several output variables that exceed the associated hysteresis level in response to the first excitation of the input variable ur. According to embodiments described herein, the hysteresis exceeding output variable may be identified to be the first (i.e. chronologically the first) output variable among the measured output variables to exceed the associated hysteresis level. Accordingly, with respect to the example shown Figs. 4-6, the hysteresis exceeding output variable may be identified to be the output variable y2, since the output variable yz reaches the associated hysteresis level at the second time h, whereas the output variable yr does not reach the associated hysteresis level at all and the output variable y: only reaches the associated hysteresis level at a time later than the second time tz. [0056] The hysteresis exceeding output variable does not necessarily have to be the first output variable to exceed the associated hysteresis level. In some embodiments, it may be the case that the first output variable to exceed the associated hysteresis level is, for reasons that may be apparent from the design of the system, not critical for the purpose of the bi-directional excitation experiment performed in respect of the input variable under consideration. In such a case, said output variable may be disregarded, and the hysteresis exceeding output variable may be another output variable, for example the chronologically second output variable to exceed the associated hysteresis level. t7140 [0057] According to embodiments described herein, the second time tz, being the time at which the input variable ur is set to the second excited input value, depends on, or is determined by, the time at which the hysteresis exceeding output variable exceeds the associated hysteresis level. In particular, both times may be substantially the same. In other words, the input variable ul may be set to the second excited input value substantially at the time when it is determined that the hysteresis exceeding output variable has reached or exceeded the associated hysteresis level. In the example desuibed with respect to Figs.4-6, the output variable yz, i.e. the hysteresis exceeding output variable, reaches the associated hysteresis level at the second time tz. Accordingly, the input variable ur may be set to the second excited input value at substantially the second time tz. [0058] In other words, according to some embodiments, in response to setting the input variable ur to the first excited input value (first excitation), the behaviour of a plurality of output variables is monitored, and when the first output variable among these monitored output variables exceeds the associated hysteresis level, the input variable ur is set to the second excited input value (second excitation). [0059] In light of the above, embodiments described herein involve monitoring the response of a plurality of output variables with respect to an excitation of one of the input variables, wherein the time at which second excitation of the input variable is started is determined by a response of an a priori unknown output variable among the measured output variables. Embodiments described herein thereby involve a "global" monitoring of the output variables during the excitation experiment. An advantage is that the most significant output variable responding to an excitation can be identified more easily. The system can in a loose manner be said to operate under feedback, assuring that no output is allowed to grow too large. In particular, embodiments desuibed herein thereby differ from experiments where the response of a fixed, pre-selected, output variable is monitored. [0060] As described herein, the value of the input variable under consideration, e.g. the input variable u1, may be changed from the second excited input value to the final input value at the third time t:. In particular, the input variable may be substantially maintained at the second excited input value from the second time tz to the third time t:. According to embodiments, the second duration 344 of the time period from the second time tz to the third time t: may be a predetermined duration. In this respect, the term oopredetermined" may be understood in the sense that the second duration 344 may be independent of a behaviour of the output variables in response to setting the input variable at the second excited input value. In particular, at the time tz when the input variable is set to the second excited input value, the second duration 344 may already be fixed. [0061] For example, according to embodiments, the second duration 344 may be set to be equal to the first duration 342. More generally, the second duration 344 may be a function of, or may be determined by, the first duration342. 100621 In light thereof, the second duration 344 may be determined based on different considerations than the first duration 342. Whereas the first duration342 may depend on a response of the system, it may be the case that the second duration 344 does not depend on such response. For example, it may be the case that the method according to embodiments described herein does not wait until the hysteresis exceeding output variable exceeds the associated hysteresis level a second time before switching from the second excited input value to the final input value. For example, as illustrated in Fig. 5, the output variable yz exceeds the hysteresis level 525a-b at a time after the third time t3, as indicated at 554.In other words, the input variable ul may be set to the final input value at the third time t:, before the output variable yz exceeds the hysteresis level 525a-b, and in particular independently thereof. [0063] As described herein, at the third time t:, the input variable under consideration is set to the final input value. The input variable may be maintained substantially at the final input value at least until the measured output variables, particularly all output variables of the multivariable process, have reached a value that stays within a range having a prescribed width over a period of time. The prescribed width associated with an output variable may be configured to represent a stabilization of the output variable to a state of equilibrium. For example, the prescribed width may be the width parameter e of the hysteresis level associated with the respective output variable. When an output variable yi stays within arange fyi,nnar - r, ]i,finar + e] having a width e for a suffrciently long amount of time, it may be considered that the output variable has stabilized to the value yi,nnur. Therein, the value yi,nnur may be equal to the reference values yio based on which the hysteresis levels 425a-b, 525a-b and 625a-b were defined, or may be a different value. The latter may be the case, for example, if the multivariable process is an integrating process. [0064] When the output variables have reached an equilibrium state, or more generally when the output variables have reached a value within the above- mentioned prescribed range, the bi-directional excitation experiment in relation to the first input variable ur may end. [0065] The method described herein may include collecting input data during at least a portion of the bi-directional excitation experiment. The input data may include one or more input values of the input variable ur under consideration during the experiment. The method may include any of the following, and any combination thereof: collecting one or more input values of the input variable before the first time tr; collecting one or more input values of the input variable from the first time tr to the second time tz; collecting one or more input values of the input variable from the second time tz to the third time tl; md collecting one or more input values of the input variable after the third time tr. [0066] The method described herein may include collecting measurement data resulting from one or more measurements, particularly aplurality of measurements, performed during at least a portion of the bi-directional excitation experiment. [0067] The method may include any of the following, and any combination thereof: performing one or more measurements of one or more output variables of the plurality of output variables (e.g. the variables yvyz and y:) before the first time tr; performing one or more measurements of one or more output variables of said plurality of output variables from the first time tr to the second time tz; performing one or more measurements of one or more output variables of said plurality of output variables from the second time tz to the third time tr; performing one or more measurements of one or more output variables of said plurality of output variables after the third time tr. Measurement data resulting from the measurement(s) may be collected. [0068] Particularly, the method may include any of the following, and any combination thereof: performing one or more measurements of the hysteresis exceeding output variable before the first time tr; performing one or more measurements of the hysteresis exceeding output variable from the first time tr to the second time b; performing one or more measursments of the hysteresis exceeding output variable from the second time tz to the third time t3; performing one or more measurements of the hysteresis exceeding output variable after the third time t:. Measurement data resulting from the measurement(s) may be collected. [0069] After the bi-directional excitation experiment relating to the input variable ur has ended, the method may proceed by selecting a second input variable uz from the set of input variables and performing a bi-directional excitation experiment in respect of said second input variable, analogous to the experiment described above in respect of the first input variable ur. The method may proceed accordingly by performing a bi-directional excitation experiment for all input variables of the set of input variables. It shall be understood that the aspects described above for the bi- directional excitation experiment relating to the first input variable ur also apply to each bi-directional excitation experiment relating to any other input variable. [0070] Fig.7 provides a further illustration of a bi-directional excitation experiment as described herein. The experiment is performed in respect of an arbitrary input variable ui. The bi-directional excitation of said input variable may have a form as described herein, e.g. as shown in Fig.3. A plurality of output 2u 40 variables yr to yn may be measured during the experiment. The initial output value of output variable yt is denoted by yro in Fig.7 , for each k ranging from 1 to n. The value of output variable yr< at time t is denoted by yr(t). Associated with each output variable yr is a parameter er defining the respective hysteresis level. In response to the first excitation of the input variable ui, the response of each of the output variables yr to yn may be monitored. According to embodiments described herein, as soon as one output variable among these monitored output variables exceeds the associated hysteresis level (illustrated by the OR function in Fig. 7), the second excitation of the input variable ui may be started at box 702. Particularly, at such time, the input variable ui may be set to the second excited input value. Further, in an example, the duration of the second excitation (second duration 344) may be taken to be the same as the duration of the first excitation (first duration 342), or at least may be a predetermined function thereof. [0071] As described herein, the bi-directional excitation experiments according to the present disclosure are simple, short experiments that provide informative data that is useful for the identification of a model of a multivariable process. [0072] According to embodiments desuibed herein, a model of at least a portion of the multivariable process may be determined. The model may be based on input data and measurement data from at least one of the bi-directional excitation experiments. The model may be an initial model as described herein. [0073] According to some embodiments desuibed herein, the model may include, for at least one, particularly each, input-output pair (ui, y.;) consisting of an input variable ui and an output variable y; of the multivariable process, an associated transfer function. The output variable yj may be the hysteresis exceeding output variable identified in the bi-directional excitation experiment performed with regard to the input variable ui, or may be any other output variable. [0074] The transfer function may be a first order transfer function with a delay Such a transfer function may have the form :;61 K G;r(s) e -s/, where K, L and T are a priori unknown parameters of the transfer function. The parameters K, L and T may depend on i and j, but this dependency is not shown in the above formula for ease of presentation. The parameters in question may be estimated based on the measurement data collected in the respective excitation experiment(s). The set of transfer functions Qi(s) may form an initial model of the multivariable process. The initial model may form the basis for determining a more detailed model, by performing further measurements of the process. [0075] The model, such a model involving transfer functions of the kind described above, may be determined from the measurement data using a plurality of commercially known techniques. For exampl e,the delayest and armax tools from the Matlab System Identification toolbox may be used for this purpose. [0076] In the following, an example of one possible approach for determining a transfer function G:i(s) is provided. The disclosure is not limited thereto, and it shall be understood that several other approaches are possible. 100771 For determining the transfer function Qi(s), it is beneficial to consider a corresponding discrete time transfer function Fli(q). The transfer function I{:i(q) has the form
Figure imgf000025_0001
where Q-1 is the backwards shift operator, d is the delay in samples, and bp and a are parameters. There are three b-paramters to compensate for apotential inaccurate estimation of the delay d. Evidently, once Fli(q) is determined, G;i(s) can be determined as well since both transfer functions can be mapped to each other. [0078] The bi-directional excitation experiment relating to the input variable ui, as well as the measurement data obtained during said excitation experiment, are considered. The excitation experiment may involve the input data sequence (where the index i is omitted for ease of presentation) u(k) u(k + tt) u(k + 2h) u(k + Ntt), where k may be a time shortly before the first time tr (where tr is the time when the input variable is set to the first excited input value), h is a sampling interval and N is a constant such that k + Nh represents a time near the end of the experiment relating to the input variable ui. [0079] The measurement data that is considered may involve a plurality of measurements of the output variable yj performed during the experiment, represented by an output data sequence (where the index j is omitted) y(k) y(k + tt) y(k + 2h) y(k + Nh) [0080] The output variable yj may be the hysteresis exceeding output variable identified in said experiment, or may be a different output variable. The output sequencs may be assumed to be noisy and may be filtered through a non-casual filter with zero phase distortion to keep the waveform. [0081] The modeling may be done in two steps using the input and the output data sequences. [0082] First, the time delay may be estimated. This may be performed using the function delayest from Matlab's System Identification toolbox. This provides the value of the parameter d in the discrete time transfer function Ei(q). [0083] Further, the parameters a and by of the function function f!i(q) may be identified using the function armax from Matlab's System Identification toolbox. An estimate of the uncertainty of the parameters may also be provided. [0084] In light of the above, according to an embodiment, a method of collecting data for process identification of a multivariable process is provided. The method includes, for each input variable of a set of input variables of the muitivariabie process, performing a bi-directional excitation experiment. Performing the bi- directional excitation experiment includes setting the input variable at an initial input value. Performing the bi-directional excitation experiment includes performing a first excitation of the input variable, comprising setting the input variable at a first excited input value at a hrst time, wherein the first excited input value differs from the initial input value by a first amount. Performing the bi- directional excitation experiment includes measuring a plurality of output variables of the multivariable process in response to performing the first excitation. A respective hysteresis level is associated to each of the measured output variables. Performing the bi-directional excitation experiment includes identifuing a hysteresis exceeding output variable among the measured plurality of output variables, wherein the hysteresis exceeding output variable is an output variable having a measured value that exceeds the hysteresis level associated with the output variable. Performing the bi-directional excitation experiment includes performing a second excitation of the input variable in response to identifying the hysteresis exceeding output variable, wherein performing the second excitation comprises setting the input variable at a second excited input value at a second time. The second excited input value differs from the initial input value by a second amount. The first amount and the second amount have opposite signs. Performing the bi- directional excitation experiment includes measuring at least the hysteresis exceeding output variable in response to performing the second excitation. Performing the bi-directional excitation experiment includes setting the input variable at afrnal input value at a third time after the second time. [0085] That the plurality of output variables is measured in response to performing the first excitation of the input variable under consideration can be understood in the sense that the output variables in question are measured after the first excitation has started, in particular after the input variable has been set to the first excited input value (in other words after the first time tr). [0086] According to embodiments, the measured plurality of output variables may consist of all output variables of the multivariable process. Accordingly, all output variables may be measured in response to performing the first excitation. [0087] According to embodiments, the hysteresis exceeding output variable may be an a priori unknown output variable among the plurality of measured output variables. Identi$ing the hysteresis exceeding output variable may include determining which output variable among the plurality of measured output variables is the hysteresis exceeding output variable based on measured values obtained by the measuring of the plurality of output variables. [0088] According to embodiments, the time period from the second time to the third time may have a pre-determined duration. [0089] According to embodiments, the time period from the first time to the second time has a first duration and the pre-determined duration of the time period from the second time to the third time is a second duration, wherein the second duration may be a function of the first duration. Particularly, the second duration may be substantially equal to the first duration. [0090] According to embodiments, the hysteresis exceeding output variable may be the first output variable among the measured plurality of output variables to exceed the associated hysteresis level in response to performing the first excitation. [0091] According to embodiments, the input variable under consideration may be maintained substantially at the final input value at least until each output variable of the measured plurality of output variables stays within a range having a prescribed width over a period of time. [0092] According to embodiments, the method may include, for each output variable of a set of output variables of the multivariable process, determining the hysteresis level associated with the output variable based on a noise parameter. [0093] According to embodiments, the method may include maintaining the input variable under consideration at substantially the first excited input value from the first time to the second time. Additionally or alternatively, the method may include maintaining the input variable at substantially the second excited input value from the second time to the third time. [0094] According to embodiments, the second amount may be a function of the first amount. [0095] According to a further embodiment, a method of model identification of a multivariable process is provided. The method includes performing the method of collecting data according to any of the embodiments described herein. The method includes determining a model of at least a portion of the multivariable process based on measurement data obtained from measuring one or more output variables during at least one of the bi-directional excitation experiments. [0096] According to embodiments, the model may include, for at least one input- output pair consisting of an input variable and an output variable of the multivariable process, a first order transfer function with a delay. Determining the model may include determining at least one parameter of the first order transfer function based on the measurement data. [0097] According to a further embodiment, and as illustrated in Fig. 8, an apparatus 800 for collecting data for process identification of a multivariable process 100 is provided. The apparatus 800 includes one or more input devices 810. The apparatus includes one or more measurement devices 820. The apparatus includes a control system 850 connected to the one or more input devices 810 and the one or more measuremsnt devices 820. The apparatus 800 is configured to perform, for each input variable of a set of input variables of the multivariable process, a bi-directional excitation experiment under the control of the control system 850. The bi-directional excitation experiment includes setting the input variable at an initial input value using an input device 810. The bi-directional excitation experiment includes performing a first excitation of the input variable, comprising setting the input variable at a first excited input value at a hrst time using the input device 810, wherein the first excited input value differs from the initial input value by a first amount. The bi-directional excitation experiment includes measuring a plurality of output variables of the multivariable process in response to performing the first excitation, wherein each output variable is measured using a measurement device 820, wherein a respective hysteresis level is associated to each of the measured output variables. The bi-directional excitation experiment includes identifying a hysteresis exceeding output variable among the measured plurality of output variables, wherein the hysteresis exceeding output variable is an output variable having a measured value that exceeds the hysteresis level associated with the output variable. The bi-directional excitation experiment includes performing a second excitation of the input variable in response to identifying the hysteresis exceeding output variable, wherein performing the second excitation comprises setting the input variable at a second excited input value at a second time using the input device 810, wherein the second excited input value differs from the initial input value by a second amount, wherein the first amount and the second amount have opposite signs. The bi-directional excitation experiment includes measuring at least the hysteresis exceeding output variable using a measurement device 820 in response to performing the second excitation. The bi-directional excitation experiment includes setting the input variable at a final input value at a third time after the second time using the input device. [0098] The apparatus may be configured for performing any aspect or combination of aspects of the methods described herein. [0099] An input device as described herein can be any input device suitable for setting or adjusting one or more input variables to a specified value. An input device can be an input actuator. [00100] A measurement device as described herein can be any measurement device, such as a sensor, detector or the like, for measuring a value of one or more output variables. [00101] The control system, or controller, may be a single system or a distributed system including aplurality of individual controllers. A control system may include one or more computers or processors for processing data supplied to the control system. [00102] According to embodiments, the control system may be configured, for each output variable of a set of output variables of the multivariable process, for determining the hysteresis level associated with the output variable based on a noise parameter. [00103] According to embodiments, the apparatus may be configured, e.g. under the control of the control system, for: maintaining the input variable under consideration at substantially the first excited input value from the first time to the second time; and/or maintaining the input variable at substantially the second excited input value from the second time to the third time. [00104] According to embodiments, the apparatus, and in particular the control system, may be configured for determining a model of at least a portion of the multivariable process based on measurement data obtained from measuring one or more output variables during at least one of the bi-directional excitation experiments. [00105] According to a further embodiment, a computer program for collecting data for process identification of a multivariable process is provided. The computer program includes instructions which, when the program is executed by a computer, cause the computer to perform, for each input variable of a set of input variables of the multivariable process, a set of operations. The set of operations includes receiving first measurement data resulting from measuring a plurality of output variables of the multivariable process in response to performing a first excitation of the input variable, wherein performing the first excitation comprises setting the input variable at a first excited input value at a first time, wherein the first excited input value differs from an initial input value of the input variable by a first amount, wherein a respective hysteresis level is associated to each of the measured output variables. The set of operations includes identifying a hysteresis exceeding output variable among the measured plurality of output variables based on the first measurement data, wherein the hysteresis exceeding output variable is an output variable having a measured value that exceeds the hysteresis level associated with the output variable. The set of operations includes receiving second measurement data resulting from measuring at least the hysteresis exceeding output variable in response to performing a second excitation of the input variable, wherein performing the second excitation comprises setting the input variable at a second excited input value at a second time in response to identiffing the hysteresis exceeding output variable, wherein the second excited input value differs from the initial input value by a second amount, wherein the f,rrst amount and the second amount have opposite signs. [00106] The computer program may be configured to perform any computer- implementable aspect or combination of aspects of the methods described herein. [00107] The computer program may include instructions which, when the program is executed by a computer, cause the computer to perform, for each input variable of a set of input variables of the multivariable process, any one the following operations, or any combination thereof: determining the initial input value of the input variable; determining the first excited input value of the input variable; determining the first time; determining the second excited input value of the input variable; determining the second time; determining the hnal input value of the input variable; and determining the third time. [00108] The computer program may include instructions which, when the program is executed by a computer, cause the computer, for each output variable of a set of output variables of the multivariable process, to determine the hysteresis level associated with the output variable based on a noise parameter. [00109] .The computer program may include instructions which, when the program is executed by a computer, cause the computer to determine a model of at least a portion of the multivariable process based on at least the first measurement data and the second measurement data. [00110] As used herein, the terms "computer", "processor" and "controller", and related terms, are not limited to just those integrated circuits referred to in the art as a computer, but broadly refers to a microcontroller, a microcomputer, an analog computer, a programmable logic controller (PLC), an application specific integrated circuit (ASIC), and other programmable circuits, and these terms are used interchangeably herein. In the embodiments described herein, "memory" may include, but is not limited to, a computer-readable medium, such as a random-access memory (RAM), a computer-readable non-volatile medium, such as a flash memory. Alternatively, a floppy disk, a compact disc - read only memory (CD- ROM), a magneto-optical disk (MOD), and/or a digital versatile disc (DVD) may also be used. Also, in the embodiments described herein, additional input channels may be, but are not limited to, computer peripherals associated with an operator interface such as a touchscreen, a mouse, and a keyboard. Altematively, other computer peripherals may also be used that may include, for example, but not be limited to, a scanner. Furthermore, in the example embodiment, additional output channels may include, but not be limited to, an operator interface monitor or heads- up display. Some embodiments involve the use of one or more electronic or computing devices. Such devices typically include a processor, processing device, or controller, such as a general-purpose central processing unit (CPU), a graphics processing unit (GPU), a microcontroller, a reduced instruction set computer (RISC) processor, an ASIC, a programmable logic controller (PLC), a field programmable gate array (FPGA), a digital signal processing (DSP) device, andlor any other circuit or processing device capable of executing the functions described herein. The methods described herein may be encoded as executable instructions embodied in a computer readable medium, including, without limitation, a storage device and/or a memory device. Such instructions, when executed by a processing device, cause the processing device to perform at least a portion of the methods described herein. The above examples are not intended to limit in any way the definition and/or meaning of the term processor and processing device. [00111] While the foregoing is directed to embodiments, other and further embodiments may be devised without departing from the basic scope, and the scope is determined by the claims that follow. REFERENCE NUMERALS multivariable process 100 input variable 110 output variable 120 horizontal axis 210 time 2t2 time 214 time 2t6 vertical axis 220 plot 250 horizontal axis 310 vertical axis 320 initial input value 321 final input value 321 first excited input value 322 second excited input value 324 first amount 332 second amount 334 first duration 342 second duration 344 plot 3s0 horizontal axis 410 vertical axis 420 hysteresis level 425a-b plot 450 horizontal axis 510 vertical axis s20 hysteresis level 525a-b plot 550 horizontal axis 610 vertical axis 620 hysteresis level 625a-b plot 650 box 702 apparatus 800 input device 810 measurement device 820 control system 850

Claims

CLAIMS 1. A method of collecting data for process identification of a multivariable process (100), comprising: for each input variable (l 10) of a set of input variables of the multivariable process, performing a bi-directional excitation experiment, comprising: setting the input variable at an initial input value (321); performing a first excitation of the input variable, comprising setting the input variable at a first excited input value (322) aI a first time (tr), wherein the first excited input value differs from the initial input value by a first amount (332); measuring a plurality of output variables (yt yz, y:) of the multivariable process in response to performing the first excitation, wherein a respective hysteresis level (425a-b, 525a-b, 625a-b) is associated to each of the measured output variables; identifying a hysteresis exceeding output variable (yz) among the measured plurality of output variables, wherein the hysteresis exceeding output variable is an output variable having a measured value that exceeds the hysteresis level associated with the output variable; performing a second excitation of the input variable in response to identifying the hysteresis exceeding output variable, wherein performing the second excitation comprises setting the input variable at a second excited input value (324) at a second time (tz), wherein the second excited input value differs from the initial input value by a second amount (334), wherein the first amount and the second amount have opposite signs; measuring at least the hysteresis exceeding output variable in response to performing the second excitation; and setting the input variable at a final input value at a third time (tr) after the second time.
2. The method of claim 1, wherein the time period (344) from the second time to the third time has a pre-determined duration.
3. The method of claim 2, wherein the time period (342) from the first time to the second time has a first duration, wherein the pre-determined duration of the time period from the second time to the third time is a second duration, wherein the second duration is a function of the first duration, particularly wherein the second duration is substantially equal to the first duration.
4. The method of any of the preceding claims, wherein the hysteresis exceeding output variable is the first output variable among the measured plurality of output variables to exceed the associated hysteresis level in response to performing the first excitation.
5. The method of any of the preceding claims, wherein the input variable is maintained substantially at the final input value at least until each output variable of the measured plurality of output variables stays within a range having a prescribed width over a period of time.
6. The method of any of the preceding claims, further comprising: for each output variable of a set of output variables of the multivariable process, determining the hysteresis level associated with the output variable based on a noise parameter.
7. The method of any of the preceding claims, further comprising: maintaining the input variable at substantially the first excited input value from the first time to the second time; and/or maintaining the input variable at substantially the second excited input value from the second time to the third time.
8. The method of any of the preceding claims, wherein the second amount is a function of the hrst amount.
9. A method of model identification of a multivariable process (100), comprising: performing the method of collectingdataaccording to any ofthe preceding claims; and determining a model of at least a portion of the multivariable process based on measurement data obtained from measuring one or more output variables during at least one of the bi-directional excitation experiments.
10. The method of claim 9, wherein the model includes, for at least one input- output pair consisting of an input variable and an output variable of the multivariable process, a first order transfer function with a delay, and wherein determining the model comprises: determining at least one parameter of the first order transfer function based on the measurement data.
11. An apparatus (800) for collecting data for process identification of a multivariable process (100), comprising: one or more input devices (810); one or more measurement devices (820); a control system (850) connected to the one or more input devices and the one or more measurement devices, wherein the apparatus is configured to perform, for each input variable (110) of a set of input variables of the multivariable process, a bi-directional excitation experiment under the control of the control system, the bi-directional excitation experiment comprising: setting the input variable at an initial input value (321) using an input device of the one or more input devices; performing a first excitation of the input variable, comprising setting the input variable at a first excited input value (322) at a first time (tr) using the input device, wherein the first excited input value differs from the initial input value by a first amount (332); measuring a plurality of output variables (yu yz, y:) of the multivariable process in response to performing the first excitation, wherein each output variable is measured using a measurement device of the one or more measurement devices, wherein a respective hysteresis level (425a-b, 525a-b,625a-b) is associated to each of the measured output variables; identifying a hysteresis exceeding output variable (yz) among the measured plurality of output variables, wherein the hysteresis exceeding output variable is an output variable having a measured valuö that exceeds the hysteresis level associated with the output variable; performing a second excitation of the input variable in response to identifying the hysteresis exceeding output variable, wherein performing the second excitation comprises setting the input variable at a second excited input value (324) at a second time (tz) using the input device, wherein the second excited input value differs from the initial input value by a second amount (334), wherein the first amount and the second amount have opposite signs; measuring at least the hysteresis exceeding output variable using a measurement device of the one or more measurement devices in response to performing the second excitation; and setting the input variable at a final input value (321) ata third time (t:) after the second time using the input device.
12. The apparatus of claim 11, wherein the time period (344) from the second time to the third time has a pre-determined duration.
13. The apparatus of claim 12, wherein the time period (342) from the first time to the second time has a first duration, wherein the pre-determined duration of the time period from the second time to the third time is a second duration, wherein the second duration is a function of the first duration, particularly wherein the second duration is substantially equal to the first duration.
14. The apparatus of any of claims 11 to 13, wherein the hysteresis exceeding output variable is the first output variable among the measured plurality of output variables to exceed the associated hysteresis level in response to setting the input variable at the first excited input value.
15. A computer program for collecting data for process identification of a multivariable process (100), the computer program comprising instructions which, when the program is executed by a computer, cause the computer to perform, for each input variable (110) of a set of input variables of the multivariable process, the following operations : receiving first measurement data resulting from measuring a plurality of output variables (yt,yz, y:) of the multivariable process in response to performing a first excitation of the input variable, wherein performing the first excitation comprises setting the input variable at a first excited input value (322) at a first time (tr), wherein the first excited input value differs from an initial input value of the input variable by a first amount (332), wherein a respective hysteresis level (425a-b,525a-b,625a-b) is associated to each of the measured output variables; identifying a hysteresis exceeding output variable (yz) among the measured plurality of output variables based on the first measurement data, wherein the hysteresis exceeding output variable is an output variable having a measured value that exceeds the hysteresis level associated with the output variable; and receiving second measurement data resulting from measuring at least the hysteresis exceeding output variable in response to performing a second excitation of the input variable, wherein performing the second excitation comprises setting the input variable at a second excited input value (324) at a second time (tz) in response to identifying the hysteresis exceeding output variable, wherein the second excited input value differs from the initial input value by a second amount (334), wherein the first amount and the second amount have opposite signs.
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Citations (3)

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US6207936B1 (en) * 1996-01-31 2001-03-27 Asm America, Inc. Model-based predictive control of thermal processing
EP1391990A2 (en) * 2002-08-22 2004-02-25 Air Products And Chemicals, Inc. Method and apparatus for producing perturbation signals
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