EP2384830A1 - Procédé d'établissement de paramètres d'un modèle pour une installation de laminage - Google Patents

Procédé d'établissement de paramètres d'un modèle pour une installation de laminage Download PDF

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Publication number
EP2384830A1
EP2384830A1 EP11163141A EP11163141A EP2384830A1 EP 2384830 A1 EP2384830 A1 EP 2384830A1 EP 11163141 A EP11163141 A EP 11163141A EP 11163141 A EP11163141 A EP 11163141A EP 2384830 A1 EP2384830 A1 EP 2384830A1
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EP
European Patent Office
Prior art keywords
model
parameters
rolling mill
determined
actual value
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
EP11163141A
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German (de)
English (en)
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EP2384830B1 (fr
Inventor
Luis Rey-Mas
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
GE Energy Power Conversion GmbH
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Converteam GmbH
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Publication of EP2384830A1 publication Critical patent/EP2384830A1/fr
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21B—ROLLING OF METAL
    • B21B37/00—Control devices or methods specially adapted for metal-rolling mills or the work produced thereby

Definitions

  • the invention relates to a method for determining parameters of a model, with which at least one area of a rolling mill can be simulated mathematically.
  • the invention also relates to a method for operating a rolling mill, wherein at least one area of the rolling mill is simulated by calculation with the model having a parameter.
  • a method for operating a rolling mill in which a measured actual value of a Operating size of the rolling mill compared with an associated setpoint and depending on a manipulated variable is determined. It is provided a so-called process observer, which includes a model, in particular a real-time simulation model, with which at least part of the rolling mill is mathematically modeled. Depending on the operating variables of the rolling plant, for example as a function of the desired value, a calculated actual value associated with the measured actual value is determined from this model. Then the measured actual value and the calculated actual value are compared with each other. From the result of the comparison, it is possible to deduce an error in the rolling mill or in the rolling process.
  • the model has a plurality of equations with which output variables of the rolling mill are calculated as a function of input variables of the rolling mill.
  • multiplicative and / or additive parameters are provided. These parameters must be determined and adjusted with regard to the actual rolling mill to be replicated or the model must be parameterized.
  • the object of the invention is to provide a method for determining the said parameters.
  • the invention solves this problem by the method according to claims 1 and 2.
  • the following steps are carried out: initial values for the parameters to be determined are given to the model, input variables determined by measurement within the rolling mill are fed to the model, the model calculates at least one model output variable as a function of the input variables and the initial values of the parameters, the model output is compared with an associated output determined by measurement within the rolling mill, and depending on the comparison, first new values are determined for the parameters of the model.
  • the output variables are calculated by the model. This represents the simulation of the actual rolling mill by the model. Then the calculated model output variables are compared with the output variables present in the rolling mill. If there is a big difference here, this means that the rolling mill is not yet modeled correctly by the model. To improve the replica, the parameters of the model are then reset.
  • model output variables can always be determined from the model using the respectively newly calculated parameters and then compared with the output variables present in the rolling plant. Depending on this comparison, the parameters of the model can then be changed over and over again so that the replica of the rolling mill can be improved by the model.
  • the input variables and the output variables form a data record and are assigned to a specific rolling process.
  • the model can be parameterized by means of single or multiple use of the data set with regard to the associated rolling process.
  • the data set or the data records are stored on a database which is assigned to the model.
  • the data sets can be determined with the aid of a computing device in the actual rolling mill and stored on a storage medium. Thereafter, the storage medium, for example, be taken over in a notebook on which the model is stored as a program.
  • the inventive method can thus be performed on the notebook completely independent of the rolling mill and the local computing device.
  • the parameterization of the model can thus be carried out "off-line", ie temporally and locally independent of the actual rolling mill.
  • the record or records will be transferred to the model.
  • the parameterization of the model can be carried out, for example, on a notebook independent of the rolling mill.
  • the data sets are not stored on the notebook, but are transferred from the rolling mill to the notebook.
  • the data sets can be currently determined or measured or stored in a database associated with the rolling mill.
  • FIG. 1 The drawing shows a schematic block diagram of an embodiment of a method for operating a rolling mill by means of a model and FIG. 2 shows a schematic block diagram of an embodiment of a method according to the invention for determining parameters for the model of FIG. 1 ,
  • FIG. 1 illustrated method is provided for the operation of a rolling mill.
  • This may be a cold rolling mill or a hot rolling mill.
  • the in the FIG. 1 specified general sizes can be realized by different special operating variables of the rolling mill.
  • the measured actual value IWG may be, for example, a measured strip thickness actual value or a measured strip tension actual value or another actual value of the rolling mill.
  • the setpoint SW may be an associated strip thickness setpoint or strip setpoint.
  • the measured actual value IWG and the setpoint SW relate to a specific rolling stand.
  • the difference between the measured actual value IWG and the setpoint value SW is supplied to a controller 12, which, inter alia, generates a manipulated variable SG as a function of these two operating variables.
  • a controller 12 which, inter alia, generates a manipulated variable SG as a function of these two operating variables.
  • this manipulated variable SG for example, the roller position of the associated rolling stand can be influenced, in order in turn to act on the strip thickness or the strip tension. In this way, a control and / or regulation of operating variables of the rolling mill can be realized. It is understood that other influences on the rolling mill are possible.
  • the setpoint value SW is supplied to a model 13, in particular a simulation model operating in real time, which is furthermore acted on by a plurality of operating variables of the rolling mill.
  • These operating variables can be any actual values, setpoints and / or manipulated variables that occur within the rolling mill.
  • individual models of the rolling mill or the entire rolling mill are modeled by the model 13.
  • an attempt is made to represent the deformation of the rolled stock during a pass through a roll stand in order to be able to determine an actual value for the same operating variable on which basis the measured actual value IWG is already present.
  • This determined actual value represents an output variable of the model 13 and is referred to below as the calculated actual value IWB.
  • the model 13 is provided to determine the calculated actual value IWB for the same operating size of the rolling mill, for which the measured actual value IWG already exists. It is understood that the model 13 is not only suitable for determining this one calculated actual value IWB, but rather a plurality of such output variables.
  • the calculated actual value IWB is compared with the measured actual value IWG.
  • the two variables of a subtraction 15 are supplied.
  • an error signal FS which is substantially equal to zero, when the calculated actual value IWB is approximately equal to the measured actual value IWG, but deviates from zero, if the calculated actual value IWB and the measured actual value IWG substantially differ.
  • the error signal FS thus represents the result signal of a process observer, which is substantially equal to zero in error-free operation, but which indicates erroneous operation by a non-zero output signal.
  • the determination of the error signal takes place in real time, ie substantially simultaneously with the respective current determination of the measured actual value IWG. This makes it possible to intervene immediately in the control and / or regulation of the rolling mill, in particular in the case of a fault signal FS different from zero, ie in particular also in real time.
  • a device for controlling and / or regulating the rolling mill is provided.
  • This may preferably be a digital computing device which is provided with an electronic memory, on which a program is stored, which can run on the computing device in real time, and which is then suitable for carrying out the method.
  • the above-described model 13 serves the FIG. 1 To simulate individual areas of the rolling mill or the entire rolling mill by calculation, in particular to simulate in real time. This is done by constructing the model 13 from a plurality of equations in which the input variables supplied to the model 13 are computationally processed. With the aid of the equations, the output quantity (s) of the model 13 is / are then calculated.
  • the equations can be any equations suitable for mathematically representing the actual technical relationships of the rolling mill. For example, it may be exponential equations of higher order, with which the time course of outputs in dependence on a plurality of input variables can be calculated. For the weighting of the individual input variables, each input variable is usually associated with a multiplicative and / or additive parameter which ultimately determines the influence of the Input size / s to the output size / s. These parameters depend on the actual rolling mill.
  • the model 13 must therefore be parameterized. This will be explained below with reference to FIG. 2 explained.
  • the method illustrated is intended to provide the parameters of the equations of model 13 of FIG. 1 to investigate.
  • the procedure of FIG. 2 can be carried out independently of the operation of the rolling mill.
  • the method can be carried out on a computing device, for example on a notebook, which operates "off-line" with respect to the rolling mill and possibly in real time.
  • FIG. 2 It is now assumed that on the example provided notebook, which is necessary for the implementation of the method FIG. 2 is provided in connection with the FIG. 1 model 13 of the rolling mill is shown in the form of a program. This means that all those equations are programmed on this computing device, which are provided for the mathematical simulation of the rolling mill in real time.
  • the parameters of these equations have an output value that can be specified, for example, when programming the equations.
  • the initial value is yet in no way adapted to the actual rolling mill.
  • Each of the data sets 18 contained in the database 17 contains a multiplicity of operating variables, which may be actual values, setpoints, manipulated variables and / or other operating variables of the rolling plant. These operating variables are recorded time-dependent on the associated Walzgang, ie on the passage of time of the rolling stock through the rolling mill.
  • the stored operating variables are at least those operating variables of the rolling plant which are required by the model 13 as input variables and which are calculated by the model 13 as output variables.
  • These farm sizes are in the FIG. 2 in each case referred to in their entirety as input variables EG and output variables AG of the model 13.
  • the database 17 may be a part of the notebook on which the model 13 of the FIG. 2 located.
  • the data records 18 must be stored in some way during operation of the rolling mill on a storage medium and then made available to the notebook, in particular in real time. It is also possible that the database 17 is assigned to the actual rolling mill.
  • the data records 18 can be transmitted via a communication link to the notebook provided as an example, on which the model 13 of the FIG. 2 located. This transmission of the data records 18 can take place in real time, so that the model 13 of the FIG. 2 can take place in real time. But this is not mandatory.
  • model 13 is now calculated on the basis of the output values of the parameters and the input variables EG of a first data set 17 stored in the database 17 and the associated output variables of the model 13 are determined , These output variables, which are referred to in their entirety as model output variables AG *, are compared with the output variables AG of the same first data set 17 stored in the database 18.
  • the method described above is run again, but not with the output values for the parameters of the model 13, but with the first new values of the parameters determined in the first pass of the method.
  • the operating variables from the first data record 18 of the database are used again.
  • a new comparison is made by the block 19 and second new values for the parameters of the model 13 are determined.
  • This repetition of the method can be carried out until the respectively newly determined values for the parameters of the model 13 no longer differ significantly from the previous values.
  • the entire process can be continued with a second data record 18 from the database 17.
  • the operating variables from the second data set 18 as well as the previously determined values for the parameters are used by the model 13 in order then to re-influence the values for the parameters via the block 19.
  • the method can in turn be repeated several times with the second data set 18.

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Control Of Metal Rolling (AREA)
EP11163141.2A 2010-05-03 2011-04-20 Procédé d'établissement de paramètres d'un modèle pour une installation de laminage Active EP2384830B1 (fr)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
DE102010019320A DE102010019320A1 (de) 2010-05-03 2010-05-03 Verfahren zum Ermitteln von Parametern eines Modells für eine Walzanlage

Publications (2)

Publication Number Publication Date
EP2384830A1 true EP2384830A1 (fr) 2011-11-09
EP2384830B1 EP2384830B1 (fr) 2016-01-20

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Application Number Title Priority Date Filing Date
EP11163141.2A Active EP2384830B1 (fr) 2010-05-03 2011-04-20 Procédé d'établissement de paramètres d'un modèle pour une installation de laminage

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EP (1) EP2384830B1 (fr)
DE (1) DE102010019320A1 (fr)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE4338608A1 (de) * 1993-11-11 1995-08-03 Siemens Ag Verfahren und Vorrichtung zur Führung eines Prozesses in einem geregelten System
DE19731980A1 (de) * 1997-07-24 1999-01-28 Siemens Ag Verfahren zur Steuerung und Voreinstellung eines Walzgerüstes oder einer Walzstraße zum Walzen eines Walzbandes
EP0924002A2 (fr) * 1997-12-17 1999-06-23 ABB Sistemi Industriali SpA Procédé pour la surveillance d'un laminoir, en particulier pour la commande en ligne du processus de laminage dans des laminoirs Sendzimir
DE102006025026A1 (de) 2006-05-26 2007-11-29 Converteam Gmbh Verfahren zum Betreiben einer Walzanlage

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE4105321A1 (de) * 1991-02-20 1992-08-27 Siemens Ag Regelung eines warm- und/oder kaltwalzprozesses
DE4338615B4 (de) * 1993-11-11 2005-10-13 Siemens Ag Verfahren und Vorrichtung zur Führung eines Prozesses in einem geregelten System

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE4338608A1 (de) * 1993-11-11 1995-08-03 Siemens Ag Verfahren und Vorrichtung zur Führung eines Prozesses in einem geregelten System
DE19731980A1 (de) * 1997-07-24 1999-01-28 Siemens Ag Verfahren zur Steuerung und Voreinstellung eines Walzgerüstes oder einer Walzstraße zum Walzen eines Walzbandes
EP0924002A2 (fr) * 1997-12-17 1999-06-23 ABB Sistemi Industriali SpA Procédé pour la surveillance d'un laminoir, en particulier pour la commande en ligne du processus de laminage dans des laminoirs Sendzimir
DE102006025026A1 (de) 2006-05-26 2007-11-29 Converteam Gmbh Verfahren zum Betreiben einer Walzanlage

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DE102010019320A1 (de) 2011-11-03
EP2384830B1 (fr) 2016-01-20

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