CN108803339A - A kind of fault-tolerant iterative learning control method of chemical industry batch process - Google Patents

A kind of fault-tolerant iterative learning control method of chemical industry batch process Download PDF

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CN108803339A
CN108803339A CN201810685840.4A CN201810685840A CN108803339A CN 108803339 A CN108803339 A CN 108803339A CN 201810685840 A CN201810685840 A CN 201810685840A CN 108803339 A CN108803339 A CN 108803339A
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侯平智
余波
胡晓敏
王立敏
张日东
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Hangzhou Dianzi University
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    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G05B13/042Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance

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Abstract

The invention discloses a kind of fault-tolerant iterative learning control methods of chemical industry batch process.The present invention initially sets up the model of chemical industry batch process, and introduces state error and output error, and the switching condition being then directed between two detailed processes is analyzed, and optimal more new law and controlled quentity controlled variable are obtained.Different from traditional control strategy, Novel Control proposed by the invention considers the case where actuator breaks down, by ensureing that system has better control performance to the control of handoff procedure.

Description

A kind of fault-tolerant iterative learning control method of chemical industry batch process
Technical field
The invention belongs to automatic industrial process control fields, are related to a kind of fault-tolerant iteration of novel chemical batch process Practise control method.
Background technology
With the development of industry, batch process control is widely used in the necks such as chemical industry, medicine, biological products, modern agriculture Domain.But since product demand increase causes batch production to be in excess load production status, to will appear asking for actuator failures Topic, if this cannot timely and effectively be solved the problems, such as, can not only lead to production process reduced performance, can also cause serious wealth Production loss, or even threaten the safety of producers.From the angle of safety and performance, it is fault-tolerant to study a kind of batch process Control method is necessary.
Invention content
Purpose of the present invention is to when actuator breaks down in chemical industry batch process, propose a kind of novel fault-tolerant iteration Practise control method.
The present invention initially sets up the model of chemical industry batch process, and introduces state error and output error, is then directed to two Switching condition between a detailed process is analyzed, and optimal more new law and controlled quentity controlled variable are obtained.Different from traditional control strategy, Novel Control proposed by the invention considers the case where actuator breaks down.Pass through the control guarantor to handoff procedure Card system has better control performance.
The technical scheme is that by means such as model foundation, controller design, algorithm designs, newcooperative medical system is devised The fault-tolerant iterative learning control method of work batch process.The control performance of system can be improved using this method.
The present invention method and step include:
Step 1, the time lag dynamic model for establishing batch process, comprise the concrete steps that:
1-1. establishes batch process System State Model, and form is as follows:
Wherein t and k indicates limited discrete time and work period respectively;D (t) indicates the time delay function of time;x (t, k), x (t-d (t), k), x (t+1, k) indicate system kth period t moment, the shape at t-d (t) moment, t+1 moment respectively State;Y (t, k) indicates the output of system kth period t moment;U (t, k) indicates the control input of system kth period t moment;x (0, k) is k-th of period original state, initial value x0,k;ρ (t, k) indicates the switching signal of kth period t moment,Cρ(t,k)All indicate the sytem matrix under corresponding switching signal;ωρ(t,k)(t, k) indicates kth week External disturbance when phase t moment switching signal.
1-2. multistages batch process is as follows in the system model form in the i-th stage:
xi(t,k)、ui(t,k)、yi(t, k) indicates the state of the i-th stage of kth period t moment, control input, system respectively Output;xi(t+1,k)、xi(t-d (t), k) indicates the state at t+1 moment the i-th stage of kth period, t-d (t) moment respectively;CiIndicate that the i-th stage had the sytem matrix of appropriate dimension;ωiWhen (t, k) indicates the i-th stage of kth period t The external disturbance at quarter.
Controlled quentity controlled variable input forms of the 1-3. when partial fault occurs in actuator is as follows:
uiF(t, k)=αiui(t,k)
Wherein uiF(t, k) is that there are controlled quentity controlled variable input when failure, α for the i-th stage of kth period t momentiIt is the i-th stage tool There is the system diagonal matrix of appropriate dimension.
1-4. obtains new state model by step 1-2 and step 1-3:
1-5. designs the state switching model between the two neighboring stage:
Wherein JiIt is the state-transition matrix in the i-th stage,It is the switching time in the i-th stage of kth period,It is I-th stage of k periodsThe state at moment;It is the i+1 stage in kth periodThe state at moment.
1-6. can be obtained the state switching model of entire batch process by above step:
Wherein q is the final stage of batch process;It is connection kth0The 1st stage of period terminates and k0The point that the 2nd stage of period starts,It is connection kth0The q stages in period terminate and kth1The 1st stage of period The point of beginning;It is connection kth1The 1st stage of period terminates and kth1The point that the 2nd stage of period starts,It is connection kth1The q stages in period terminate and kth2The point that the 1st stage of period starts;It is connection kthk-1The q stages in period terminate and kthkThe point that the 1st stage of period starts,It is connection kthkThe q stages in period terminate and kthk+1The point that the 1st stage of period starts.
Step 2, design batch process controller, comprise the concrete steps that:
2-1. design iteration controlled quentity controlled variables:
Wherein ui(t, k-1) indicates the controlled quentity controlled variable input of -1 i-th stage of period of kth t moment, ri(t, k) kth period t moment More new law, ui(t, 0) is the initial controlled quentity controlled variable input of the i-th stage system.
2-2. definition status error and output error:
Whereinei(t, k) is state error, the system output errors of the i-th stage of kth period t moment respectively; xi(t, k-1) is the state of -1 i-th stage of period of kth t moment,It is the output after the delay of the i-th stage.
The control system that 2-3. can be further expanded by step 2-1 and 2-2:
WhereinPoint It Wei not t+1 moment the i-th stage of kth period, t moment, the extended mode at t-d (t) moment;It is kth- The extended mode at 1-h t+1 moment the i-th stage of (k-1) period,It is -1 t+1 moment i-th stage of period of kth Extended mode,Indicate the extension interference of the i-th stage of kth period t moment, Gi=[0 Ii], h It is the unit matrix for having appropriate dimension with I;zi(t, k) is the state vector of the i-th stage of kth period t moment extension;Ai、BiIt is Constant matrices; It is the i-th stage of kth period t moment respectivelyTwo increments.
2-4. systems switching when state model be:
Wherein Ci+1Indicate the sytem matrix in i+1 stage,Indicate the i-th stage of kth period theMoment state Error,Indicate -1 i-th stage of period of kth theThe state at moment, Indicate the kth period I+1 and i stage systemsMoment output error,Indicate the output after the delay of i+1 stage.
2-5. can obtain more new law r by step 2-3 and step 2-4i(t, k) is as follows:
WhereinIt is two gain coefficients in the i-th stage.
2-6. combination step 2-1 to step 2-5 can obtain chemical industry batch process optimal control law uiIt (t, k) and acts on Controlled device.
Specific implementation mode
By taking injection molding process as an example:
Step 1 establishes injection molding process time lag dynamic model, comprises the concrete steps that:
It is as follows that 1-1. establishes injection molding process system model form:
Wherein t and k indicates limited discrete time and work period respectively;D (t) is time delay function;x(t,k),x (t-d (t), k), x (t+1, k) indicate kth injection molding stage, t moment period, the injection molding at t-d (t) moment, t+1 moment respectively Molding system mode;Y (t, k) indicates the nozzle exit pressure of kth period t moment;U (t, k) indicates that kth period t moment is molded into The valve opening of type;X (0, k) is k-th of period original state, initial value x0,k, ρ (t, k) expression kth period t moments Switching signal,Cρ(t,k)All indicate the sytem matrix under corresponding switching signal;ωρ(t,k)(t,k) Indicate external disturbance when injection molding kth period t moment switching signal.
1-2. injection molding processes are as follows in the System State Model in the i-th stage:
xi(t,k)、ui(t,k)、yi(t, k) indicates the system shape of the injection molding of the i-th stage of kth period t moment respectively State, valve opening, nozzle exit pressure;xi(t+1,k)、xi(t-d (t), k) indicates kth period t+1, t-d (t) moment respectively The system mode of injection molding;CiIndicate that injection phase has the sytem matrix of appropriate dimension;ωi(t,k) Indicate the external disturbance of the i-th stage of kth period t moment.
Valve openings of the 1-3. when partial fault occurs in actuator:
uiF(t, k)=αiui(t,k)
Wherein uiF(t, k) is that there are valve opening when failure, α for the i-th stage of kth period t momentiIt is to have in the i-th stage The system diagonal matrix of appropriate dimension.
1-4. obtains the state model of new injection molding by step 1-2 and step 1-3:
1-5. designs the state switching model between the two neighboring stage:
Wherein JiIt is the state-transition matrix in the i-th stage,It is the switching time in the i-th stage of kth period,It is I-th stage of k periodsThe system mode of moment injection molding;It is the i+1 stage in kth periodMoment injection molding System mode.
The switching sequence model of 1-6. injection molding processes is as follows:
Wherein q is the final stage of batch process,It is connection kth0The 1st stage of period terminates and k0The point that the 2nd stage of period starts,It is connection kth0The q stages in period terminate and kth1The 1st stage of period The point of beginning;It is connection kth1The 1st stage of period terminates and kth1The point that the 2nd stage of period starts,It is connection kth1The q stages in period terminate and kth2The point that the 1st stage of period starts;It is connection kthk-1The q stages in period terminate and kthkThe point that the 1st stage of period starts,It is connection kthkThe q stages in period terminate and kthk+1The point that the 1st stage of period starts.
Step 2, the fault-tolerant iterative learning controller for designing injection molding process, comprise the concrete steps that:
2-1. designs the valve opening of injection molding process proportioning valve first:
Wherein ui(t, k-1) indicates the valve opening of -1 i-th stage of period of kth t moment proportioning valve, ri(t, k) is kth week The iteration more new law of phase t moment, ui(t, 0) is the initial value of the valve opening of proportioning valve.
2-2. defines the state error and output error of injection molding process:
Whereinei(t, k) is the state error of the i-th stage of kth period t moment injection molding, output mistake respectively Difference;xi(t, k-1) is the state of -1 i-th stage of period t moment injection molding of kth,It is the nozzle pressure after the delay of the i-th stage Power.
The control system that 2-3. can be further expanded by step 2-1 and 2-2:
WhereinPoint Not Wei the t+1 moment the i-th stage of kth period, t moment, t-d (t) moment injection moulding process extended mode;zi(t, k) is the kth period The injection moulding process state vector of i-th stage t moment extension;It is kth -1-h the i-th stages of (k-1) period The extended mode of t+1 moment injection moulding process,It is -1 period of kth t+1 the i-th stage, injection molding processes moment Extended mode,Indicate the extension interference of the i-th stage of kth period t moment, H and I is the unit matrix for having appropriate dimension; Ai、BiIt is constant matrices;It is the i-th stage of kth period t moment respectivelyTwo increments.
2-4. systems switching when state model be:
Wherein Ci+1Indicate the sytem matrix of injection molding,Indicate the i-th stage of kth period theMoment is molded into The state error of type,Indicate -1 i-th stage of period of kth theThe state of moment injection molding,It is kth period i+1 and i stage systemsMoment nozzle exit pressure error,Indicate i+1 rank Nozzle exit pressure after Duan Yanchi.
2-5. can obtain more new law r by step 2-3 and step 2-4i(t, k) is as follows:
WhereinIt is the gain coefficient of the i-th stage injection molding process different conditions.
2-6. combination step 2-1 to step 2-5 can obtain the valve opening u of chemical industry batch process proportioning valvei(t, k), Injection molding process is acted on again.

Claims (1)

1. a kind of fault-tolerant iterative learning control method of chemical industry batch process, it is characterised in that this method is specifically:
Step 1, the time lag dynamic model for establishing batch process, specifically:
1-1. establishes batch process System State Model, and form is as follows:
Wherein t and k indicates limited discrete time and work period respectively;D (t) indicates the time delay function of time;x(t,k), X (t-d (t), k), x (t+1, k) indicate system kth period t moment, the state at t-d (t) moment, t+1 moment respectively;y(t, K) output of system kth period t moment is indicated;U (t, k) indicates the control input of system kth period t moment;X (0, k) is K-th of period original state, initial value x0,k;ρ (t, k) indicates the switching signal of kth period t moment,Cρ(t,k)All indicate the sytem matrix under corresponding switching signal;ωρ(t,k)(t, k) indicates kth week External disturbance when phase t moment switching signal;
1-2. multistages batch process is as follows in the system model form in the i-th stage:
xi(t,k)、ui(t,k)、yi(t, k) indicates that the state of the i-th stage of kth period t moment, control input, system are defeated respectively Go out;xi(t+1,k)、xi(t-d (t), k) indicates the state at t+1 moment the i-th stage of kth period, t-d (t) moment respectively;CiIndicate that the i-th stage had the sytem matrix of appropriate dimension;ωi(t, k) indicates the i-th stage of kth period t The external disturbance at moment;
Controlled quentity controlled variable input forms of the 1-3. when partial fault occurs in actuator is as follows:
uiF(t, k)=αiui(t,k)
Wherein uiF(t, k) is that there are controlled quentity controlled variable input when failure, α for the i-th stage of kth period t momentiIt is to have in the i-th stage to fit When the system diagonal matrix of dimension;
1-4. obtains new state model by step 1-2 and step 1-3:
1-5. designs the state switching model between the two neighboring stage:
Wherein JiIt is the state-transition matrix in the i-th stage,It is the switching time in the i-th stage of kth period,It is kth week I-th stage of phaseThe state at moment;It is the i+1 stage in kth periodThe state at moment;
1-6. obtains the state switching model of entire batch process by above step:
Wherein q is the final stage of batch process;It is connection kth0The 1st stage of period terminates and kth0Period The point that 2nd stage started,It is connection kth0The q stages in period terminate and kth1The 1st stage of period starts Point;It is connection kth1The 1st stage of period terminates and kth1The point that the 2nd stage of period starts,It is connection kth1The q stages in period terminate and kth2The point that the 1st stage of period starts;It is connection kthk-1The q stages in period terminate and kthkThe point that the 1st stage of period starts,It is connection kthkThe q stages in period terminate and kthk+1The point that the 1st stage of period starts;
Step 2, design batch process controller, specifically:
2-1. design iteration controlled quentity controlled variables:
Wherein ui(t, k-1) indicates the controlled quentity controlled variable input of -1 i-th stage of period of kth t moment, ri(t, k) kth period t moment is more New law, ui(t, 0) is the initial controlled quentity controlled variable input of the i-th stage system;
2-2. definition status error and output error:
Whereinei(t, k) is state error, the system output errors of the i-th stage of kth period t moment respectively;xi(t, K-1) be -1 i-th stage of period of kth t moment state,It is the output after the delay of the i-th stage;
The control system that 2-3. is further expanded by step 2-1 and 2-2:
WhereinRespectively T+1 moment i-th stage of kth period, t moment, the extended mode at t-d (t) moment;It is kth -1-h (k-1) extended mode at t+1 moment the i-th stage of period,It is the expansion at -1 t+1 moment i-th stage of period of kth Exhibition state,Indicate the extension interference of the i-th stage of kth period t moment, Gi=[0 Ii], h It is the unit matrix for having appropriate dimension with I;zi(t, k) is the state vector of the i-th stage of kth period t moment extension;Ai、BiIt is Constant matrices; It is the i-th stage of kth period t moment respectivelyTwo increments;
2-4. systems switching when state model be:
Wherein Ci+1Indicate the sytem matrix in i+1 stage,Indicate the i-th stage of kth period theMoment state error,Indicate -1 i-th stage of period of kth theThe state at moment, Indicate kth period i+1 With i stage systemsMoment output error,Indicate the output after the delay of i+1 stage;
2-5. obtains more new law r by step 2-3 and step 2-4i(t, k) is as follows:
WhereinIt is two gain coefficients in the i-th stage;
2-6. combination step 2-1 to step 2-5 obtain chemical industry batch process optimal control law ui(t, k) and act on controlled device.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109407512A (en) * 2018-12-13 2019-03-01 海南师范大学 Rely on the batch process 2D input and output about beam control method of time lag

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2011180665A (en) * 2010-02-26 2011-09-15 Fuji Electric Co Ltd Fault tolerant device, control module thereof, and program
CN104298213A (en) * 2014-10-30 2015-01-21 清华大学 Index time varying gain type iterative learning control algorithm based on reference batch
CN105911868A (en) * 2016-06-15 2016-08-31 南京工业大学 Multi-batch intermittent reactor two-dimension iterative learning feedback control method
CN107168293A (en) * 2017-06-23 2017-09-15 杭州电子科技大学 A kind of model prediction tracking and controlling method of batch chemical process
CN107765549A (en) * 2017-10-12 2018-03-06 杭州电子科技大学 A kind of New Iterative learning control method of batch industrial process
CN107942675A (en) * 2017-12-13 2018-04-20 杭州电子科技大学 A kind of Chemical Batch Process stability of control system keeping method
CN107942667A (en) * 2017-11-29 2018-04-20 辽宁石油化工大学 Injection moulding process based on Time-varying time-delays and interference mixes 2D tracking and controlling methods
CN107976942A (en) * 2017-11-22 2018-05-01 海南师范大学 The batch process 2D constraint fault tolerant control methods of Infinite horizon optimization
CN108107723A (en) * 2017-11-28 2018-06-01 辽宁石油化工大学 The 2D Design of Optimized Fuzzy Controller methods of nonlinear batch process

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2011180665A (en) * 2010-02-26 2011-09-15 Fuji Electric Co Ltd Fault tolerant device, control module thereof, and program
CN104298213A (en) * 2014-10-30 2015-01-21 清华大学 Index time varying gain type iterative learning control algorithm based on reference batch
CN105911868A (en) * 2016-06-15 2016-08-31 南京工业大学 Multi-batch intermittent reactor two-dimension iterative learning feedback control method
CN107168293A (en) * 2017-06-23 2017-09-15 杭州电子科技大学 A kind of model prediction tracking and controlling method of batch chemical process
CN107765549A (en) * 2017-10-12 2018-03-06 杭州电子科技大学 A kind of New Iterative learning control method of batch industrial process
CN107976942A (en) * 2017-11-22 2018-05-01 海南师范大学 The batch process 2D constraint fault tolerant control methods of Infinite horizon optimization
CN108107723A (en) * 2017-11-28 2018-06-01 辽宁石油化工大学 The 2D Design of Optimized Fuzzy Controller methods of nonlinear batch process
CN107942667A (en) * 2017-11-29 2018-04-20 辽宁石油化工大学 Injection moulding process based on Time-varying time-delays and interference mixes 2D tracking and controlling methods
CN107942675A (en) * 2017-12-13 2018-04-20 杭州电子科技大学 A kind of Chemical Batch Process stability of control system keeping method

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
LIMIN WANG ET AL.: "Delay-Range-Dependent-Based Hybrid Iterative Learning Fault Tolerant Guaranteed Cost Control for Multiphase Batch Processes", 《INDUSTRIAL AND ENGINEERING CHEMISTRY RESEARCH》 *
LIMIN WANG ET AL.: "Iterative learning fault-tolerant control for injection molding processes against actuator faults", 《JOURNAL OF PROCESS CONTROL》 *
LIMIN WANG ET AL.: "Robust delay dependent iterative learning fault-tolerant control for batch processes with state delay and actuator failures", 《JOURNAL OF PROCESS CONTROL》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109407512A (en) * 2018-12-13 2019-03-01 海南师范大学 Rely on the batch process 2D input and output about beam control method of time lag
CN109407512B (en) * 2018-12-13 2022-03-08 海南师范大学 Time-lag-dependent intermittent process 2D input-output constraint control method

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