CN106873367A - A kind of two input and output network decoupling and controlling system delay compensation methods based on IMC - Google Patents
A kind of two input and output network decoupling and controlling system delay compensation methods based on IMC Download PDFInfo
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Abstract
Two input and output network decoupling and controlling system (TITO NDCS) delay compensation methods based on IMC, belong to the MIMO NDCS technical fields of limited bandwidth resources.Affect one another and couple between a kind of two input/output signal, need the TITO NDCS by decoupling treatment, transmit produced network delay among the nodes due to network data, not only influence the stability of respective close loop control circuit, but also the stability of whole system will be influenceed, even result in the problem that TITO NDCS lose stabilization, propose with the network data transmission process between all real nodes in TITO NDCS, instead of network delay compensation model therebetween, IMC is implemented to two loops simultaneously, the measurement to network delay between node can be exempted, estimate or recognize, reduce clock signal synchronization requirement, reduce influence of the network delay to TITO NDCS stability, improve quality of system control.
Description
Technical field
Network decoupling and controlling system delay compensation side of the one kind based on IMC (Internal Model Control, IMC)
Method, is related to the crossing domain of automatic control technology, the network communications technology and computer technology, more particularly to limited bandwidth resources
MIMO Networked Control Systems technical field.
Background technology
In dcs, sensor and controller, between controller and actuator, by Real Time Communication Network
The closed-loop feedback control system of composition, referred to as network control system (Networked control systems, NCS), NCS's
Typical structure is as shown in Figure 1.
NCS is capable of achieving resource-sharing, remote operation and control, tool compared with the control system of traditional point-to-point structure
There is a high diagnosis capability, I&M is easy, many advantages, such as increased flexibility and the reliability of system.Long-range distant behaviour
Work, telemedicine, remote teaching, wireless network robot, some Weapon Systems and emerging with fieldbus and industrial ether
Control system based on net belongs to the category of NCS, additionally, NCS is in aerospace field, and complicated, dangerous industry
Control field also has wide application, and it is studied has turned into a hot subject of international academic community.
In NCS, due to the presence of the phenomenons such as network delay, data packetloss and network congestion so that NCS faces many
New challenge.Sensor as NCS, when passing through network exchange data between controller and actuator, when inevitably resulting in network
Prolong, so as to the performance of system can be reduced or even cause system unstable.Because the information source in network is a lot, transmitting data stream warp
Numerous computers and communication equipment and path is not exclusive;Or limitation and the influence of transmission mechanism due to the network bandwidth, network
The reason such as congestion or disconnecting, causes the sequential entanglement of network packet and the loss of packet.Although time-delay system point
Analysis and modeling obtained in recent years there may be in remarkable progress, but NCS various time delays of different nature (constant, bounded, with
Machine, time-varying etc.) so that existing method typically can not be applied directly.Traditional control theory is being analyzed and is setting to system
Timing, has often done many Utopian it is assumed that transmitting and adjusting such as the sampling of single rate, Synchronization Control, without time delay.But in NCS
In, because control loop has network, above-mentioned hypothesis is typically invalid, therefore Traditional control theory will be reappraised
Can be applied in NCS.
At present, the research on NCS both at home and abroad, primarily directed to single-input single-output (Single-input and
Single-output, SISO) network control system, respectively known to network delay, it is unknown or random, network delay be less than one
The individual sampling period transmits more than a sampling period, the transmission of list bag or many bags, when whetheing there is data-bag lost, it is entered
Row mathematical modeling or stability analysis and controlling.But in actual industrial process, generally existing including at least two inputs
Export the control system of (Two-input and two-output, TITO), the multiple-input and multiple-output (Multiple- for being constituted
Input and multiple-output, MIMO) network control system research it is then relatively fewer, in particular for input with
Between output signal, there is coupling needs by decoupling the multiple-input and multiple-output network decoupling and controlling system for processing
(Networked decoupling control systems, NDCS) delay compensation with control achievement in research then it is relative more
It is few.
The typical structure of MIMO-NDCS is as shown in Figure 2.
Compared with SISO-NCS, MIMO-NDCS has the characteristics that:
(1) affected one another between input signal and output signal and there is coupling
In the MIMO-NCS that there is coupling, a change for input signal will become multiple output signals
Change, and each output signal is also not only influenceed by an input signal.Even if by meticulous between input and output signal
Selection pairing, also exists and influences each other unavoidably between each control loop, thus it is respective output signal is independently tracked
Input signal is had any problem.Decoupler in MIMO-NDCS, for releasing or reducing the coupling between MIMO signal
Cooperation is used.
(2) internal structure is more more complex than SISO-NCS and MIMO-NCS
(3) controlled device there may be uncertain factor
In MIMO-NDCS, the parameter being related to is more, and the contact between each control loop is more, and parameter variations are to overall control
The influence of effect processed can become very complicated.
(4) control unit failure
In MIMO-NDCS, including at least there is two or more close loop control circuits, including at least have two or
More than two sensors and actuator.The failure of each element may influence the performance of whole control system, when serious
Control system can be made unstable, or even caused a serious accident.
Due to the above-mentioned particularity of MIMO-NDCS so that be mostly based on SISO-NCS be designed with control method,
The requirement of the control performance of MIMO-NDCS and control quality cannot have been met, prevent its from or be not directly applicable MIMO-
In the design and analysis of NDCS, control and design to MIMO-NDCS bring certain difficulty.
For MIMO-NDCS, network delay compensation is essentially consisted in the difficult point of control:
(1) due to network delay and network topology structure, communication protocol, offered load, the network bandwidth and data package size
It is relevant etc. factor, control back more than several or even the dozens of sampling period network delay, to set up in MIMO-NDCS each
The Mathematical Modeling that the network delay on road is accurately predicted, estimates or recognized, is nearly impossible at present.
(2) occur in MIMO-NDCS, when previous node is to network during latter node-node transmission network data
Prolong, no matter using which kind of prediction or method of estimation in previous node, be impossible to know the net for producing thereafter in advance in advance
The exact value of network time delay.Time delay causes systematic function to decline or even causes system unstable, while also to the analysis of control system
Difficulty is brought with design.
(3) to meet in MIMO-NDCS, all node clock signal Complete Synchronizations in different distributions place are unrealistic
's.
(4) due in MIMO-NCS, being affected one another between input and output, and there is coupling, its MIMO-NDCS's
Internal structure is more complicated than MIMO-NCS and SISO-NCS, it is understood that there may be uncertain factor it is more, to MIMO-NDCS implement
Delay compensation is more much more difficult than MIMO-NCS and SISO-NCS with control.
The content of the invention
Network decoupling and controlling system (TITO-NDCS) net is exported the present invention relates to a kind of two input two in MIMO-NDCS
The compensation of network time delay and control, the typical structure of its TITO-NDCS are as shown in Figure 3.
For the close loop control circuit 1 in Fig. 3:
1) from input signal x1S () arrives output signal y1S the closed loop transfer function, between () is:
In formula:C1S () is controller;G11S () is controlled device;τ1Represent the output signal u of controller C nodes1(s),
Through preceding the network delay that decoupling actuator DA1 nodes are experienced is transferred to network path;τ2Represent sensor S1 nodes
Output signal y1(s), through the network delay that feedback network tunnel is experienced to controller C nodes.
2) the uneoupled control signal u of actuator DA2 nodes is decoupled from close loop control circuit 2p2(s), by cross decoupling
Path transmission function P12(s) and controlled device line passing transmission function G12S () acts on close loop control circuit 1, believe from input
Number up2S () arrives output signal y1S the closed loop transfer function, between () is:
The denominator of above-mentioned closed loop transfer function, equation (1) to (2)In, contain network delay τ1
And τ2Exponential termWithThe presence of time delay will deteriorate the performance quality of control system, and the system of even resulting in loses stabilization
Property.
For the close loop control circuit 2 in Fig. 3:
1) from input signal x2S () arrives output signal y2S the closed loop transfer function, between () is:
In formula:C2S () is controller, G22S () is controlled device;τ3Represent the controlled output signal u of controller C nodes2
S (), the network delay that decoupling actuator DA2 nodes are experienced is transferred to through preceding to network path;τ4Represent sensor S2 sections
The output signal y of point2(s), through the network delay that feedback network tunnel is experienced to controller C nodes.
2) the uneoupled control signal u of actuator DA1 nodes is decoupled from close loop control circuit 1p1(s), by cross decoupling
Path transmission function P21(s) and controlled device line passing transmission function G21S () acts on close loop control circuit 2, believe from input
Number up1S () arrives output signal y2S the closed loop transfer function, between () is:
The denominator of above-mentioned closed loop transfer function, equation (3) to (4)In, contain network delay τ3
And τ4Exponential termWithThe presence of time delay will deteriorate the performance quality of control system, and the system of even resulting in loses stabilization
Property.
Goal of the invention:
For the TITO-NDCS of Fig. 3, in the denominator of the closed loop transfer function, equation (1) to (2) of its close loop control circuit 1,
Contain network delay τ1And τ2Exponential termWithAnd the closed loop transfer function, equation (3) of close loop control circuit 2
Into the denominator of (4), network delay τ is contained3And τ4Exponential termWithThe presence of time delay can reduce respective closed loop
The control performance quality of control loop simultaneously influences the stability of respective close loop control circuit, while will also decrease the control of whole system
Performance quality processed simultaneously influences the stability of whole system, and whole system loss of stability will be caused when serious.
Therefore, for the close loop control circuit 1 in Fig. 3 and control loop 2:The present invention proposes a kind of time delay based on IMC
Compensation method, constitutes compensation and the IMC of two close loop control circuit network delays, for exempting in each close loop control circuit, saving
The measurement of network delay, estimation or identification between point, and then reduce network delay τ1And τ2, and τ3And τ4To respective closed loop control
Loop processed and the influence to whole control system control performance quality and the stability of a system;When prediction model is equal to its true mould
During type, the exponential term not comprising network delay in the characteristic equation of each close loop control circuit is capable of achieving, and then when can reduce network
Prolong the influence to whole system stability, improve the dynamic property quality of system, realization divides TITO-NDCS network delays
Section, real-time, online and dynamic predictive compensation and IMC.
Using method:
For the close loop control circuit 1 in Fig. 3:
The first step:In controller C nodes, an internal mode controller C is built1IMC(s) substitution controller C1(s);For reality
When now meeting predictive compensation condition, the exponential term of network delay is no longer included in the closed loop transform function of close loop control circuit 1, with
Realize to network delay τ1And τ2Compensation with control, use with control signal u1S () is estimated as input signal, controlled device
Model G11mS () passes through network transfer delay prediction model as controlled process, control with process dataAndAround
Internal mode controller C1IMCS (), constructs a positive feedback Prediction Control loop;The structure for implementing this step is as shown in Figure 4;
Second step:In for actual TITO-NDCS, it is difficult to obtain the problem of network delay exact value, to realize in fig. 4
Compensation and IMC to network delay, in addition to the condition that controlled device prediction model to be met is equal to its true model, it is necessary to
Meet network delay prediction modelAndTo be equal to its true modelAndCondition.Therefore, from sensor
S1 nodes between controller C nodes, and from controller C nodes to decoupling actuator DA1 nodes, using real net
Network data transmission procedureAndInstead of network delay predict-compensate model therebetweenAndThus no matter it is controlled
Whether the prediction model of object is equal to its true model, can be realized from system architecture not comprising the pre- of network delay therebetween
Estimate compensation model, so that in exempting to close loop control circuit 1, network delay τ between node1And τ2Measurement, estimate or recognize;
When prediction model is equal to its true model, it is capable of achieving to its network delay τ1And τ2Compensation and IMC;Implement the inventive method
Network delay compensation it is as shown in Figure 5 with IMC structures;
For the close loop control circuit 2 in Fig. 3:
The first step:In controller C nodes, an internal mode controller C is built2IMC(s) substitution controller C2(s);For reality
When now meeting predictive compensation condition, the closed loop transform function of close loop control circuit 2 no longer includes network delay exponential term, to realize
To network delay τ3And τ4Compensation with control, around controlled device G22S (), y is exported with close loop control circuit 22S () is used as defeated
Enter signal, by y2S () passes through network transfer delay prediction modelWith estimate internal mode controller C2mIMC(s) and network transmission
Time-delay Prediction modelOne positive feedback Prediction Control loop of construction;The structure for implementing this step is as shown in Figure 4;
Second step:In for actual TITO-NDCS, it is difficult to obtain the problem of network delay exact value, to realize in fig. 4
Compensation and control to network delay, it is necessary to meet network delay prediction modelWithTo be equal to its true modelWithCondition, and satisfaction estimate internal mode controller C2mIMCS () is equal to its internal mode controller C2IMCS the condition of () is (due to internal model
Controller C2IMCS () is artificial design and selection, C is met naturally2mIMC(s)=C2IMC(s)).Therefore, from sensor S2 nodes to
Between controller C nodes, and from controller C nodes to decoupling actuator DA2 nodes, passed using real network data
Defeated processWithInstead of the predict-compensate model of network delay therebetweenWithThe network delay shown in Fig. 5 is obtained to mend
Compensation structure;
3rd step:By internal mode controller C in Fig. 52IMCS (), by the further abbreviation of transmission function equivalence transformation rule, obtains
The network delay collocation structure of the implementation the inventive method shown in Fig. 6;Realize system not comprising network delay therebetween from structure
Predict-compensate model so that in exempting to close loop control circuit 2, network delay τ between node3And τ4Measurement, estimate or distinguish
Know, be capable of achieving to network delay τ3And τ4Compensation and IMC;Implement network delay compensation and the IMC structures such as figure of the inventive method
Shown in 6.
Herein it should be strongly noted that in the controller C nodes of Fig. 6, occurring in that the given letter of close loop control circuit 2
Number x2(s), with its feedback signal y2(s) implement first " subtracting " afterwards " plus ", or first " plus " operation rule that " subtracts " afterwards, i.e. y2(s) signal
It is connected in controller C nodes by positive feedback and negative-feedback simultaneously:
(1) this is due to by the internal mode controller C in Fig. 52IMC(s), according to transmission function equivalence transformation rule further
Abbreviation obtains the result shown in Fig. 6, and non-artificial setting;
(2) because the node of NCS is nearly all intelligent node, not only with communication and calculation function, but also with depositing
Storage with control etc. function, same signal is carried out in node elder generation " subtracting " afterwards " plus ", or first " plus " " subtract " afterwards, this is in operation method
Then go up do not have what be not inconsistent normally part;
Same signal is carried out in node (3) " plus " with " subtracting " computing its end value it is " zero ", this " zero " value, and
The signal y in the node is not indicated that2S () does not just exist, or do not obtain y2S () signal, or signal is not stored for;Or because of " phase
Mutually offset " cause " zero " signal value to reform into not exist, or it is nonsensical;
(4) triggering of controller C nodes just comes from signal y2The driving of (s), if controller C nodes are not received by
From the signal y that feedback network tunnel comes2S (), then the controller C nodes in event-driven working method will not
It is triggered.
For the close loop control circuit 1 in Fig. 6:
1) from input signal x1S () arrives output signal y1S the closed loop transfer function, between () is:
In formula:G11mS () is controlled device G11The prediction model of (s);C1IMCS () is internal mode controller.
2) the signal u of decoupling actuator DA2 nodes in close loop control circuit 2 is come from2p(s), by cross decoupling path
Transmission function P12S () acts on close loop control circuit 1;At the same time, signal u2pS () is transmitted by controlled device line passing
Function G12S () acts on close loop control circuit 1;From input signal u2pS () arrives output signal y1Closed loop transfer function, between (s)
For:
Using the inventive method, when controlled device prediction model is equal to its true model, that is, work as G11m(s)=G11When (s),
The closed loop transfer function, denominator of close loop control circuit 1 byIt is turned into 1.
Now, close loop control circuit 1 is equivalent to an open-loop control system, in the denominator of closed loop transfer function, no longer
Network delay τ comprising the influence stability of a system1And τ2Exponential termWithThe stability of system only with controlled device, hand over
Stability of the fork decoupling path transmission function with internal mode controller in itself is relevant;Network delay pair can be reduced using the inventive method
The influence of the stability of a system, improves the dynamic control performance quality of system, realizes to the dynamic compensation of network delay and IMC.
For the close loop control circuit 2 in Fig. 6:
1) from input signal x2S () arrives output signal y2S the closed loop transfer function, between () is:
In formula:C2IMCS () is internal mode controller.
2) the signal u of decoupling actuator DA1 nodes in close loop control circuit 1 is come from1p(s), by cross decoupling path
Transmission function P21S () acts on close loop control circuit 2;At the same time, signal u1pS () is transmitted by controlled device line passing
Function G21S () acts on close loop control circuit 2;From input signal u1pS () transmits letter to the closed loop between output signal y2 (s)
Number is:
Using the inventive method, the denominator of transmission function equation (7) and (8) is 1, and close loop control circuit 2 is equivalent to one
Open-loop control system, no longer comprising the network delay τ of the influence stability of a system in the denominator of closed loop transfer function,3And τ4's
Exponential termWithThe stability of system only with controlled device, cross decoupling path transmission function and internal mode controller in itself
Stability it is relevant;Influence of the network delay to the stability of a system can be reduced using the inventive method, improve the dynamic control of system
Performance quality processed, realizes to the dynamic compensation of network delay and IMC.
In close loop control circuit 1 and control loop 2, internal mode controller C1IMC(s) and C2IMCThe design of (s) and selection:
Design internal mode controller typically uses pole-zero cancellation method, i.e. two step design methods:The first step is that design one takes it
It is the inversion model of plant model as feedforward controller C11(s) and C22(s);Second step is added in feedforward controller
The feedforward filter f of certain order1(s) and f2S (), constitutes a complete internal mode controller C1IMC(s) and C2IMC(s)。
(1) feedforward controller C11(s) and C22(s)
Error, the interference of system when first ignoring controlled device and plant model Incomplete matching and other are various about
The factors such as beam condition, in selection close loop control circuit 1 and loop 2, controlled device prediction model is equal to its true model, i.e.,:G11m
(s)=G11(s), G22m(s)=G22(s)。
Now, controlled device prediction model can be divided into according to the poles and zeros assignment situation of controlled device:G11m(s)=
G11m+(s)G11m-(s) and G22m(s)=G22m+(s)G22m-(s), wherein:G11m+(s) and G22m+S () is respectively controlled device and estimates
Model G11m(s) and G22mIrreversible part comprising pure lag system and s RHP zero pole points in (s);G11m-(s) and G22m-
The s reversible part of minimum phase that () is respectively in controlled device prediction model.
Under normal circumstances, the feedforward controller C in close loop control circuit 1 and loop 211(s) and C22S () can be chosen for respectively:With
(2) feedforward filter f1(s) and f2(s)
The thing of feedforward controller can be influenceed due to the pure lag system in controlled device and positioned at the zero pole point of s RHPs
Reason is realisation, thus the reversible part G of controlled device minimum phase has only been taken in the design process of feedforward controller11m-(s)
And G22m-S (), have ignored G11m+(s) and G22m+(s);Due to possible incomplete between controlled device and controlled device prediction model
Match and there is error, interference signal is there is likely to be in system, these factors are likely to make system lose stabilization.Therefore,
The feedforward filter of certain order is added in feedforward controller, for reducing influence of the factors above to the stability of a system, is carried
The robustness of system high.
Generally the feedforward filter f of close loop control circuit 11(s), and control loop 2 feedforward filter f2(s), point
Fairly simple n is not chosen for1And n2Rank wave filterWithWherein:λ1And λ2It is feedforward
Filter time constant;n1And n2It is the order of feedforward filter, and n1=n1a-n1bAnd n2=n2a-n2b;n1aAnd n2aRespectively
Controlled device G11(s) and G22The order of (s) denominator;n1bAnd n2bRespectively controlled device G11(s) and G22The order of (s) molecule,
Usual n1> 0 and n2> 0.
(3) internal mode controller C1IMC(s) and C2IMC(s)
Close loop control circuit 1 and the internal mode controller C in loop 21IMC(s) and C2IMCS () can be chosen for respectively:
With
Be can be seen that from equation (9) and (10):The internal mode controller C of one degree of freedom1IMC(s) and C2IMCIn (s), all
Only one of which customized parameter λ1And λ2;Due to λ1And λ2The change of parameter and the tracking performance of system and antijamming capability have
Direct relation, therefore in the customized parameter λ of wave filter of adjusting1And λ2When, generally require dry with anti-in the tracing property of system
Ability is disturbed to trade off between the two.
The scope of application of the invention:
It is using the IMC methods of control loop 1 during suitable for controlled device prediction model equal to its true model and controlled
Using the IMC methods of control loop 2 when object prediction model is known or is uncertain of, a kind of two input two for being constituted exports network
The compensation of decoupling and controlling system (TITO-NDCS) network delay and IMC;Its Research Thinking and method, can equally be well applied to be controlled
Using the IMC methods of control loop 1 when object prediction model is equal to its true model, and controlled device prediction model it is known or
Using the IMC methods of control loop 2 when being uncertain of, the multiple-input and multiple-output network decoupling and controlling system (MIMO- for being constituted
NDCS) compensation of network delay and IMC.
It is a feature of the present invention that the method is comprised the following steps:
For close loop control circuit 1:
(1) is h when the sensor S1 nodes cycle1Sampled signal trigger when, employing mode A is operated;
(2) is when controller C nodes are by feedback signal y1bWhen () triggers s, employing mode B is operated;
(3) is when decoupling actuator DA1 nodes are by IMC signals u1When () triggers s, employing mode C is operated;
For close loop control circuit 2:
(4) is h when the sensor S2 nodes cycle2Sampled signal trigger when, employing mode D is operated;
(5) is when controller C nodes are by feedback signal y2When () triggers s, employing mode E is operated;
(6) is when decoupling actuator DA2 nodes are by IMC signals u2When () triggers s, employing mode F is operated;
The step of mode A, includes:
A1:Sensor S1 nodes work in time type of drive, and its trigger signal is cycle h1Sampled signal;
A2:After sensor S1 nodes are triggered, to controlled device G11The output signal y of (s)11S () and controlled device are intersected
Channel transfer function G12The output signal y of (s)12(s), and decouple the output signal y of actuator DA1 nodes11mbS () is adopted
Sample, and calculate the system output signal y of close loop control circuit 11(s) and feedback signal y1b(s), and y1(s)=y11(s)+y12
(s) and y1b(s)=y1(s)-y11mb(s);
A3:By feedback signal y1b(s), by the feedback network path of close loop control circuit 1 to controller C node-node transmissions,
Feedback signal y1bS () will experience network transfer delay τ2Afterwards, controller C nodes are got to;
The step of mode B, includes:
B1:Controller C nodes work in event driven manner, by feedback signal y1bS () is triggered;
B2:In controller C nodes, by the system Setting signal x of close loop control circuit 11S (), subtracts feedback signal y1b
S () obtains deviation signal e1(s), i.e. e1(s)=x1(s)-y1b(s);
B3:To e1S () implements Internal Model Control Algorithm C1IMCS (), obtains IMC signals u1(s);
B4:By IMC signals u1S feedforward network path that () passes through close loop control circuit 1Unit is to decoupling actuator DA1
Node-node transmission, u1S () will experience network transfer delay τ1Afterwards, get to decouple actuator DA1 nodes;
The step of mode C, includes:
C1:Decoupling actuator DA1 nodes work in event driven manner, by IMC signals u1S () is triggered;
C2:In actuator DA1 nodes are decoupled, by IMC signals u1S () acts on controlled device prediction model G11m(s)
To its output valve y11mb(s);The signal u that close loop control circuit 2 decouples actuator DA2 nodes will be come from2pS () acts on intersection
Decoupling path transmission function P12S () obtains its output valve yp12(s);By IMC signals u1(s) and yp12S () subtracts each other must decouple execution
Device DA1 output signal nodes u1p(s), i.e. u1p(s)=u1(s)-yp12(s);
C3:By signal u1pS () acts on controlled device G11S () obtains its output valve y11(s);By signal u1pS () acts on
Controlled device cross aisle transmission function G21S () obtains its output valve y21(s);So as to realize to controlled device G11(s) and G21
The uneoupled control and IMC of (s), while realizing to network delay τ1And τ2Compensation with control;
The step of mode D, includes:
D1:Sensor S2 nodes work in time type of drive, and its trigger signal is cycle h2Sampled signal;
D2:After sensor S2 nodes are triggered, controlled device G22The output signal y of (s)22S () and controlled device are intersected logical
Road transmission function G21The output signal y of (s)21S () is sampled, and calculate the system output signal y of close loop control circuit 22
(s), and y2(s)=y22(s)+y21(s);
D3:By feedback signal y2(s), by the feedback network path of close loop control circuit 2 to controller C node-node transmissions,
Feedback signal y2S () will experience network transfer delay τ4Afterwards, controller C nodes are got to;
The step of mode E, includes:
E1:Controller C nodes work in event driven manner, by feedback signal y2S () is triggered;
E2:In controller C nodes, by the system Setting signal x of close loop control circuit 22(s), with feedback signal y2(s) phase
After adduction subtracts each other, signal e is obtained2(s), i.e. e2(s)=x2(s)+y2(s)-y2(s)=x2(s);To e2S () implements internal model control
Algorithm C2IMCS (), obtains IMC signals u2(s);
E3:By IMC signals u2S feedforward network path that () passes through close loop control circuit 2Unit is to decoupling actuator
DA2 node-node transmissions, u2S () will experience network transfer delay τ3Afterwards, get to decouple actuator DA2 nodes;
The step of mode F, includes:
F1:Decoupling actuator DA2 nodes work in event driven manner, by IMC signals u2S () is triggered;
F2:By IMC signals u2S () decouples the output signal u of actuator DA1 nodes with close loop control circuit 1 is come from1p
S () passes through cross decoupling path transmission function P21The output signal y of (s)p21S () subtracts each other and obtains signal u2p(s), i.e. u2p(s)=
u2(s)-yp21(s);
F3:By signal u2pS () acts on controlled device G22S () obtains its output valve y22(s);By signal u2pS () acts on
Controlled device cross aisle transmission function G12S () obtains its output valve y12(s);So as to realize to controlled device G22(s) and G12
The uneoupled control and IMC of (s), while realizing to network delay τ3And τ4Compensation with control.
The present invention has following features:
1st, due to from exempting in structure in TITO-NDCS, the measurement of network delay, observation, estimate or recognize, while also
The synchronous requirement of node clock signal can be exempted, time delay can be avoided to estimate the inaccurate evaluated error for causing of model, it is to avoid pair when
Prolong the waste of consuming node storage resources needed for identification, while can also avoid due to " the sky sampling " or " sampling more " that time delay is caused
The compensation error brought.
2nd, it is unrelated with the selection of specific network communication protocol due to from TITO-NDCS structures, realizing, thus be both applicable
In the TITO-NDCS using wired network protocol, the TITO-NDCS of wireless network protocol is also applicable for use with;It is not only suitable for really
Qualitative procotol, also suitable for the procotol of uncertainty;The TITO-NDCS of heterogeneous network composition is not only suitable for, while
Also it is applied to the TITO-NDCS that heterogeneous network is constituted.
3rd, the close loop control circuit 1 in TITO-NDCS and control loop 2:Its internal mode controller is respectively C1IMC(s) and
C2IMC(s), the equal only one of which of its adjustable parameter, respectively λ1And λ2Parameter, the regulation of its parameter is simple with selection, and physics is anticipated
It is adopted clear and definite;Stability, tracking performance and the interference free performance of system can be not only improved using IMC, but also can be realized to net
The compensation of network time delay and control.
4th, because the present invention uses compensation and control method that " software " changes TITO-NDCS structures, thus at it
Any hardware device need not be further added by implementation process, the software resource carried using existing TITO-NDCS intelligent nodes, it is sufficient to
Its compensation and control function are realized, hardware investment can be saved and be easy to be extended and applied.
Brief description of the drawings
Fig. 1:The typical structure of NCS
Fig. 1 is by sensor S nodes, controller C nodes, actuator A nodes, controlled device, feedforward network tunnel list
UnitAnd feedback network tunnel unitConstituted.
In Fig. 1:X (s) represents system input signal;Y (s) represents system output signal;C (s) represents controller;U (s) tables
Show control signal;τcaThe feedforward network that control signal u (s) is experienced in expression from controller C nodes to actuator A node-node transmissions
Tunnel time delay;τscThe feedback net that detection signal y (s) of sensor S nodes is experienced in expression to controller C node-node transmissions
Network tunnel time delay;G (s) represents controlled device transmission function.
Fig. 2:The typical structure of MIMO-NDCS
Fig. 2 is by r sensor S node, controller C nodes, m decoupling actuator DA node, controlled device G, m forward direction
Network path propagation delay timeUnit, and r feedback network tunnel time delayUnit
Constituted.
In Fig. 2:yjS () represents j-th output signal of system;uiS () represents i-th control signal;Representing will control
Signal ui(s) from controller C nodes to i-th decoupling actuator DA node-node transmissions experienced feedforward network tunnel when
Prolong;Represent j-th detection signal y of sensor S nodesjS () leads to the feedback network that controller C node-node transmissions are experienced
Road propagation delay time;G represents controlled device transmission function.
Fig. 3:The typical structure of TITO-NDCS
Fig. 3 is made up of close loop control circuit 1 and 2, and its system includes sensor S1 and S2 node, controller C nodes, solution
Coupling actuator DA1 and DA2 node, controlled device transmission function G11(s) and G22S () and controlled device line passing transmit letter
Number G21(s) and G12(s), cross decoupling path transmission function P21(s) and P12(s), feedforward network tunnel unitWithAnd feedback network tunnel unitWithConstituted.
In Fig. 3:x1(s) and x2S () represents the input signal of system;y1(s) and y2S () represents the output signal of system;C1
(s) and C2S () represents the controller of control loop 1 and 2;u1(s) and u2S () represents control signal;τ1And τ3Represent and believe control
Number u1(s) and u2S feedforward network path that () is experienced from from controller C nodes to decoupling actuator DA1 and DA2 node-node transmission is passed
Defeated time delay;τ2And τ4Represent the detection signal y of sensor S1 and S2 node1(s) and y2S () is passed through to controller C node-node transmissions
The feedback network tunnel time delay gone through.
Fig. 4:A kind of TITO-NDCS delay compensations comprising prediction model and control structure
In Fig. 4:C1IMCS () is the internal mode controller of control loop 1;C2mIMCS () is the internal mode controller of control loop 2
C2IMCThe prediction model of (s);AndIt is network transfer delayAndEstimate Time Delay Model;AndIt is network transfer delayAndEstimate Time Delay Model;G11mS () is controlled device transmission function G11(s) it is pre-
Estimate model.
Fig. 5:Replace the TITO-NDCS delay compensations of prediction model and control structure with true model
Fig. 6:A kind of two input and output network decoupling and controlling system delay compensation methods based on IMC
Specific embodiment
Exemplary embodiment of the invention will be described in detail by referring to accompanying drawing 6 below, make the ordinary skill people of this area
Member becomes apparent from features described above of the invention and advantage.
Specific implementation step is as described below:
For close loop control circuit 1:
The first step:Sensor S1 nodes work in time type of drive, are h when the sensor S1 nodes cycle1Sampling
After signal triggering, will be to controlled device G11The output signal y of (s)11(s) and controlled device cross aisle transmission function G12(s)
Output signal y12(s), and decouple the output signal y of actuator DA1 nodes11mbS () is sampled, and calculate closed-loop control
The system output signal y in loop 11(s) and feedback signal y1b(s), and y1(s)=y11(s)+y12(s) and y1b(s)=y1(s)-
y11mb(s);
Second step:Sensor S1 nodes are by feedback signal y1b(s), by the feedback network path of close loop control circuit 1 to
Controller C node-node transmissions, feedback signal y1bS () will experience network transfer delay τ2Afterwards, controller C nodes are got to;
3rd step:Controller C nodes work in event driven manner, by feedback signal y1bS () triggers after, by closed loop control
The system Setting signal x in loop processed 11S (), subtracts feedback signal y1bS () obtains deviation signal e1(s), i.e. e1(s)=x1(s)-
y1b(s);To e1S () implements Internal Model Control Algorithm C1IMCS (), obtains IMC signals u1(s);
4th step:By IMC signals u1S feedforward network path that () passes through close loop control circuit 1Unit is performed to decoupling
Device DA1 node-node transmissions, u1S () will experience network transfer delay τ1Afterwards, get to decouple actuator DA1 nodes;
5th step:Decoupling actuator DA1 nodes work in event driven manner, by IMC signals u1S () triggers after, will
IMC signals u1S () acts on controlled device prediction model G11mS () obtains its output valve y11mb(s);Closed-loop control will be come to return
Road 2 decouples the signal u of actuator DA2 nodes2pS () acts on cross decoupling path transmission function P12S () obtains its output valve
yp12(s);By IMC signals u1(s) and yp12S () subtracts each other must decouple actuator DA1 output signal nodes u1p(s), i.e. u1p(s)=u1
(s)-yp12(s);
6th step:By signal u1pS () acts on controlled device G11S () obtains its output valve y11(s);By signal u1pS () is made
For controlled device cross aisle transmission function G21S () obtains its output valve y21(s);So as to realize to controlled device G11(s) and
G21S the uneoupled control of () adds IMC, while realizing to network delay τ1And τ2Compensation with control;
7th step:Return to the first step;
For close loop control circuit 2:
The first step:Sensor S2 nodes work in time type of drive, are h when the sensor S2 nodes cycle2Sampling
After signal triggering, will be to controlled device G22The output signal y of (s)22(s) and controlled device cross aisle transmission function G21(s)
Output signal y21S () is sampled, and calculate the system output signal y of close loop control circuit 22(s), and y2(s)=y22(s)
+y21(s);
Second step:Sensor S2 nodes are by feedback signal y2(s), by the feedback network path of close loop control circuit 2 to
Controller C node-node transmissions, feedback signal y2S () will experience network transfer delay τ4Afterwards, controller C nodes are got to;
3rd step:Controller C nodes work in event driven manner, by feedback signal y2S () triggers after, by closed loop control
The system Setting signal x of loop processed 22(s), with feedback signal y2S () phase adduction obtains signal e after subtracting each other2(s), i.e. e2(s)=x2
(s)+y2(s)-y2(s)=x2(s);To e2S () implements Internal Model Control Algorithm C2IMCS (), obtains IMC signals u2(s);
4th step:By IMC signals u2S feedforward network path that () passes through close loop control circuit 2Unit is performed to decoupling
Device DA2 node-node transmissions, u2S () will experience network transfer delay τ3Afterwards, get to decouple actuator DA2 nodes;
5th step:Decoupling actuator DA2 nodes work in event driven manner, by IMC signals u2S () triggers after, will
IMC signals u2S () decouples the output signal u of actuator DA1 nodes with close loop control circuit 1 is come from1pS () passes through cross decoupling
Path transmission function P21The output signal y of (s)p21S () subtracts each other and obtains signal u2p(s), i.e. u2p(s)=u2(s)-yp21(s);
6th step:By signal u2pS () acts on controlled device G22S () obtains its output valve y22(s);By signal u2pS () is made
For controlled device cross aisle transmission function G12S () obtains its output valve y12(s);So as to realize to controlled device G22(s) and
G12S the uneoupled control of () adds IMC, while realizing to network delay τ3And τ4Compensation with control;
7th step:Return to the first step;
The foregoing is only presently preferred embodiments of the present invention and oneself, be not intended to limit the invention, it is all in essence of the invention
Within god and principle, any modification, equivalent substitution and improvements made etc. should be included within the scope of the present invention.
The content not being described in detail in this specification belongs to prior art known to professional and technical personnel in the field.
Claims (4)
1. a kind of two input and output network decoupling and controlling system delay compensation methods based on IMC, it is characterised in that the method bag
Include following steps:
For close loop control circuit 1:
(1) is h when the sensor S1 nodes cycle1Sampled signal trigger when, employing mode A is operated;
(2) is when controller C nodes are by feedback signal y1bWhen () triggers s, employing mode B is operated;
(3) is when decoupling actuator DA1 nodes are by IMC signals u1When () triggers s, employing mode C is operated;
For close loop control circuit 2:
(4) is h when the sensor S2 nodes cycle2Sampled signal trigger when, employing mode D is operated;
(5) is when controller C nodes are by feedback signal y2When () triggers s, employing mode E is operated;
(6) is when decoupling actuator DA2 nodes are by IMC signals u2When () triggers s, employing mode F is operated;
The step of mode A, includes:
A1:Sensor S1 nodes work in time type of drive, and its trigger signal is cycle h1Sampled signal;
A2:After sensor S1 nodes are triggered, to controlled device G11The output signal y of (s)11(s) and controlled device cross aisle
Transmission function G12The output signal y of (s)12(s), and decouple the output signal y of actuator DA1 nodes11mbS () is sampled,
And calculate the system output signal y of close loop control circuit 11(s) and feedback signal y1b(s), and y1(s)=y11(s)+y12(s)
And y1b(s)=y1(s)-y11mb(s);
A3:By feedback signal y1b(s), by the feedback network path of close loop control circuit 1 to controller C node-node transmissions, feedback
Signal y1bS () will experience network transfer delay τ2Afterwards, controller C nodes are got to;
The step of mode B, includes:
B1:Controller C nodes work in event driven manner, by feedback signal y1bS () is triggered;
B2:In controller C nodes, by the system Setting signal x of close loop control circuit 11S (), subtracts feedback signal y1b(s)
To deviation signal e1(s), i.e. e1(s)=x1(s)-y1b(s);
B3:To e1S () implements Internal Model Control Algorithm C1IMCS (), obtains IMC signals u1(s);
B4:By IMC signals u1S feedforward network path that () passes through close loop control circuit 1Unit is to decoupling actuator DA1 nodes
Transmission, u1S () will experience network transfer delay τ1Afterwards, get to decouple actuator DA1 nodes;
The step of mode C, includes:
C1:Decoupling actuator DA1 nodes work in event driven manner, by IMC signals u1S () is triggered;
C2:In actuator DA1 nodes are decoupled, by IMC signals u1S () acts on controlled device prediction model G11mS () obtains it
Output valve y11mb(s);The signal u that close loop control circuit 2 decouples actuator DA2 nodes will be come from2pS () acts on cross decoupling
Path transmission function P12S () obtains its output valve yp12(s);By IMC signals u1(s) and yp12S () subtracts each other must decouple actuator DA1
Output signal node u1p(s), i.e. u1p(s)=u1(s)-yp12(s);
C3:By signal u1pS () acts on controlled device G11S () obtains its output valve y11(s);By signal u1pS () acts on controlled
Object cross aisle transmission function G21S () obtains its output valve y21(s);So as to realize to controlled device G11(s) and G21(s)
Uneoupled control and IMC, while realizing to network delay τ1And τ2Compensation with control;
The step of mode D, includes:
D1:Sensor S2 nodes work in time type of drive, and its trigger signal is cycle h2Sampled signal;
D2:After sensor S2 nodes are triggered, controlled device G22The output signal y of (s)22S () and controlled device cross aisle are passed
Delivery function G21The output signal y of (s)21S () is sampled, and calculate the system output signal y of close loop control circuit 22(s),
And y2(s)=y22(s)+y21(s);
D3:By feedback signal y2(s), by the feedback network path of close loop control circuit 2 to controller C node-node transmissions, feedback letter
Number y2S () will experience network transfer delay τ4Afterwards, controller C nodes are got to;
The step of mode E, includes:
E1:Controller C nodes work in event driven manner, by feedback signal y2S () is triggered;
E2:In controller C nodes, by the system Setting signal x of close loop control circuit 22(s), with feedback signal y2(s) phase adduction
After subtracting each other, signal e is obtained2(s), i.e. e2(s)=x2(s)+y2(s)-y2(s)=x2(s);To e2S () implements Internal Model Control Algorithm
C2IMCS (), obtains IMC signals u2(s);
E3:By IMC signals u2S feedforward network path that () passes through close loop control circuit 2Unit is to decoupling actuator DA2 nodes
Transmission, u2S () will experience network transfer delay τ3Afterwards, get to decouple actuator DA2 nodes;
The step of mode F, includes:
F1:Decoupling actuator DA2 nodes work in event driven manner, by IMC signals u2S () is triggered;
F2:By IMC signals u2S () decouples the output signal u of actuator DA1 nodes with close loop control circuit 1 is come from1pS () leads to
Cross cross decoupling path transmission function P21The output signal y of (s)p21S () subtracts each other and obtains signal u2p(s), i.e. u2p(s)=u2(s)-
yp21(s);
F3:By signal u2pS () acts on controlled device G22S () obtains its output valve y22(s);By signal u2pS () acts on controlled
Object cross aisle transmission function G12S () obtains its output valve y12(s);So as to realize to controlled device G22(s) and G12(s)
Uneoupled control and IMC, while realizing to network delay τ3And τ4Compensation with control.
2. method according to claim 1, it is characterised in that:From TITO-NDCS structures, realize system not comprising control
The predict-compensate model of all-network time delay in loop 1 and control loop 2, so as to exempt to network delay τ between node1And τ2,
And τ3And τ4Measurement, estimate or recognize, exempt the requirement synchronous to node clock signal.
3. method according to claim 1, it is characterised in that:Realized from TITO-NDCS structures, network delay is compensated
The implementation of method, the selection with specific network communication protocol is unrelated.
4. method according to claim 1, it is characterised in that:Close loop control circuit 1 and control loop in TITO-NDCS
2, using internal mode controller C1IMC(s) and C2IMC(s);The equal only one of which parameter of adjustable parameter of its internal mode controller, its parameter
Regulation is simple with selection, and explicit physical meaning;Stability, the tracking performance that system can be not only improved using IMC are dry with anti-
Immunity energy, but also compensation and control to network delay can be realized.
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