CN1275111C - Error feedback anti-saturation static compensation controller and determining method for compensator - Google Patents

Error feedback anti-saturation static compensation controller and determining method for compensator Download PDF

Info

Publication number
CN1275111C
CN1275111C CN 200410066784 CN200410066784A CN1275111C CN 1275111 C CN1275111 C CN 1275111C CN 200410066784 CN200410066784 CN 200410066784 CN 200410066784 A CN200410066784 A CN 200410066784A CN 1275111 C CN1275111 C CN 1275111C
Authority
CN
China
Prior art keywords
compensator
error feedback
stability
optimization
saturation
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.)
Expired - Fee Related
Application number
CN 200410066784
Other languages
Chinese (zh)
Other versions
CN1588246A (en
Inventor
王景成
戴丹
缪银龙
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.)
Shanghai Jiaotong University
Original Assignee
Shanghai Jiaotong University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Shanghai Jiaotong University filed Critical Shanghai Jiaotong University
Priority to CN 200410066784 priority Critical patent/CN1275111C/en
Publication of CN1588246A publication Critical patent/CN1588246A/en
Application granted granted Critical
Publication of CN1275111C publication Critical patent/CN1275111C/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Images

Landscapes

  • Feedback Control In General (AREA)

Abstract

The present invention relates to an error feedback anti-saturation static compensation controller and a determining method for a compensator, which are used for the field of control engineering. On the basis that the present invention improves the existing error feedback compensation uniform framework (referring to the picture), a structural parameter of a controller k (s) and an object P (s) is determined firstly by using a uniform framework method; then, on the basis that definite performance optimization is guaranteed, the stability of an anti-saturation system is optimized, and a stability optimization problem is converted into a convex set optimization problem, so the structure parameter of two feedback compensators lambda 1, 2 before improvement are determined; a compensator lambda 3 is changed manually finally to improve the response of the system, and the structure of the compensator lambda 3 is determined. The present invention better solves the problems of stability optimization and performance optimization by improving an original error feedback uniform framework, and the output response is improved; compared with other same arts, the design of the anti-saturation controller and the compensator is greatly simplified by the technology used in the present invention, and the present invention has better universal adaptability.

Description

Definite method of error feedback anti-saturation static compensation device
Technical field
The present invention relates to a kind of determining method for compensator, specifically is a kind of definite method of error feedback anti-saturation static compensation device, is used for the control engineering field.
Background technology
Various linear time invariant Anti-windup and bumplesstransfer (AWBT) framework before the Unified frame theory has objectively been unified.AWBT has multiple different framework, but because they do not have universality, so they itself and on their bases, develop the various technology that and also do not have universality, Kothare proposes Unified frame, with the unified difference of various LTI AWBT frameworks, develop the saturation problem comprehensive analysis method that on this basis and also can include achievement with front baffle for two parameter matrixs in this framework.Traditional method for analyzing stability mainly contains: circles theorem, and the off-line circles theorem, multivariate circles theorem etc., but they all can only represent the overachievement of research field separately without exception, and can't contain the achievement in research of other framework.
Find through open source literature retrieval prior art, Mulder E F, Kothare M V, and Morari M is at " Automatica " (2001, vol.37 (01): (the utilization LMI is handled multivariate antisaturation controller synthesis problem to the article of delivering 1407-1416) " Multivariableanti-windup controller synthesis using linear matrix inequalities ", " control automatically "), people such as Kothare have proposed comprehensive multiloop circles theorem, stability problem is converted into the LMI problem, it has easy advantage, and universality preferably arranged, but this universality neither be absolute, for example when handling common output feedback control problem, this method just can't be translated into the convex set optimization problem effectively.
Traditional performance optimization method has a lot, L 2The gain theorem is important a kind of, and it is based on, and Unified frame proposes, and this method can turn to the performance optimization problem LMI problem, and this method has the little advantage of calculated amount equally, and its universality neither be absolute.When improving the serviceability of system, must be cost to sacrifice its stability, this is the wretched insufficiency of prior art.
Summary of the invention
The objective of the invention is to overcome the deficiencies in the prior art, a kind of definite method of error feedback anti-saturation static compensation device is provided, it is being carried out on the improved basis original AWBT Unified frame, again utilization stability and performance optimization method carry out the analysis of AWBT synthtic price index, little except having calculated amount, outside the characteristics such as universality height, can also take into account the stability and the serviceability of system simultaneously.
The present invention is achieved by the following technical solutions, by existing error feedback compensation Unified frame is improved, introduces Error Feedback compensator Λ 3, on this basis, at first uses the method for Unified frame to determine controller Structural parameters with object P (s); When guaranteeing to obtain better serviceability, the optimizing stability problem is converted into the convex set optimization problem then, thus two feedback compensator Λ before determining to improve 12Structural parameters; By to another compensator Λ 3Adjusting, improve the output response of system, determine compensator Λ simultaneously 3Structure, comprise three parts:
(1) construction linear time invariant system
To analyze a real system, at first must carry out modeling, accurately replace real system with system chart to system.The Unified frame that the present invention adopts is based on that the control strategy of " two-step approach " forms.At first ignoring under the condition of nonlinear interaction, real system is being configured as linear time invariant (LTI) system, and then considering nonlinear interaction, determining new controller parameter with the easiest existing method
Figure C20041006678400052
(2) stability of system and serviceability optimization
Stability and serviceability are the basic problems that any control problem all must be considered.The present invention is converted into the LMI optimization problem with the optimizing stability problem when serviceability is further optimized, obtain the optimization solution of stability problem, and this optimization solution is used to determine two compensator Λ in the former framework the most at last 12Structural parameters.
(3) performance of improvement system
The present invention is by introducing Error Feedback compensator Λ 3And manual adjustments can be improved the performance of system.
Below the invention will be further described, particular content is as follows:
1, construction linear time invariant system
At first, determine the actuator of linear system and the structural parameters of controller when not considering saturation, these parameters generally are to determine by the method for mathematical modeling.According to the controller architecture parameter K (s) that obtains, determine then at the new controller that has under the saturation conditions
Figure C20041006678400061
Structural parameters, wherein,
Figure C20041006678400062
For the needs of further analyzing, will Be converted into state space form:
x · = Ax + ( B v - B ξ Λ ) v + B w w
u=C ux+(D uv-D Λ)v+D uww
z=C zx+(D zv-D Λ)v+D zww
A wherein, B v, B ξ, B wDeng the function that is the initial parameter of feedback/feed-forward interconnection system.W represents all input signals of the system that enters from surrounding environment, comprises interference, sensor noise etc.; Z represents the controlled output signal that system is all, tracking error for example, and the purpose of CONTROLLER DESIGN is exactly as much as possible z to be remained less value.
2, the stability of system and serviceability optimization
At Error Feedback compensator Λ 3(Λ when not having an effect 3=0), utilization method for optimizing stability and L 2The gain performance optimization, stability and the serviceability to system is optimized simultaneously, and determines two compensator Λ 1And Λ 2Structural parameters.Suppose L from input w to controlled output z 2Norm is:
sup | | w | | 2 ≠ 0 | | γ 1 / 2 z | | 2 | | w | | 2 ≤ Γ - - - ( 1 )
By minimizing this L 2Norm (is promptly determined
Figure C20041006678400067
), determine the performance optimization index of system, on the basis of this performance optimization index, again system is carried out optimizing stability.The optimizing stability problem is converted into LMI the most at last, but separating of obtaining is that local optimum is separated.
Whether the question resolves itself into exists matrix M = diag ( M 1 , M 2 , K , M n u ) Following LMI is set up, and satisfied M>0, δ 1-1>0, Q=P -1In the time of>0 and Γ>0, it is minimum making Γ
QA T + AQ B w B v M - B &xi; X + QC u T QC z T 0 B w T - &Gamma; D uw T D zw T 0 MB v T - X T B &xi; T + C u Q D uw l MD zv T - X T D z&xi; T M C z Q D zw D zv M - D z&xi; X - &gamma; - 1 0 0 0 M 0 - &delta; 1 I < 0 - - - ( 2 )
Wherein: l = - 2 M + D uv M + MD uv T - D u&xi; X - X T D u&xi; T &CenterDot;
Feasible solution M and X by formula (2) determine compensator Λ 1And Λ 2Gain matrix Λ=XM -1
The present invention again can be by (γ is the diagonal angle real matrix, represents the importance of every road output to weight factor γ.For example, if the output of each road is of equal importance, then the selection of γ=I) is carried out manual adjustments to the performance index of system and (is promptly determined by formula (1)
Figure C20041006678400073
Minimum value), like this, the performance of the output signal that some are important will obtain emphasis optimization.
3, improve the performance of system
The Error Feedback compensator that the present invention introduces will act on tracking error signal z, influence output signal the most at last.The present invention is by manual adjustments Λ 3The method of gain matrix can improve the performance of system.
Generally speaking, the present invention can be resolved the antisaturation problem of system owing to adopted the two-step approach of technical maturation in a comparatively simple framework.Not only solved the stability and the performance optimization problem of system reliably,, further improved the output response of system also by introducing the Error Feedback compensator.Empirical tests uses the present invention can handle a series of saturation problem, for the user constructs the system of a stable and function admirable, and prolongs the serviceable life of control system topworks to a certain extent.
Description of drawings
The improved Error Feedback Unified frame of Fig. 1 synoptic diagram
Fig. 2 embodiment: four water pot devices equivalence block diagram
Embodiment
As shown in Figure 1, the content in conjunction with definite method of error feedback anti-saturation static compensation device provides following examples:
The present invention is used for the comprehensive Design (comprising optimizing stability and performance optimization) of following framework, and determines the structural parameters of three static compensators simultaneously.
1, construction linear time invariant system
As shown in Figure 2, four water pot experimental provisions are by four interconnected water pots, and two water pumps and a plurality of valve are formed.The input signal of device is input voltage amplitude (v), the V of water pump 1And V 2The output signal of device is current potential (v), the Y of height of water level of two water pots of respective base 1And Y 2Wherein, the discharge that flows into each water pot is controlled by related valve.
If obtain by certain system is carried out mathematical modeling
P ( s ) = 0.794 ( 29.37 s + 1 ) 0.454 ( 33,91 s + 1 ) ( 29.37 s + 1 ) 0.305 ( 33.91 s + 1 ) ( 29.37 s + 1 ) 0.610 ( 33.91 s + 1 )
The mathematical model of controller is selected (decoupling zero) for use:
u 1 ( s ) u 2 ( s ) = 20 + 4 s + s 0 0 20 + 4 3 + s y 1 ( s ) - y 1 * y 2 ( s ) - y 2 *
Because valve can not unrestrictedly be opened greatly, so limited this practical problems that makes of valve opening degree has become saturation problem.The initial input set point of supposing this system is y 1 * y 2 * = 12 10 , The output potential of the present actuator of the limited issue table of valve is limited, makes u ^ &le; 50 &CenterDot; Here, as long as just can obtain by the present invention
Figure C20041006678400085
With
Figure C20041006678400086
.Suppose z=e and w=r, the transport function of said system
Figure C20041006678400087
With
Figure C20041006678400088
Be converted into state space form, can obtain the structural parameters of each matrix.
2, the stability of system and serviceability optimization
Suppose Λ 3=0, suppose γ=I, substitution formula (1) obtains performance index
Figure C20041006678400089
With every loop parameter substitution formula (2) that the first step obtains, obtain the feasible solution X and the M of LMI problem, thereby determine Λ 1,2Structural parameters.
Obtain &Lambda; 1 = 59.4804 - 59.4275 - 9.9421 10.9903 - 67.0548 86.0632 12.6603 - 15.5621 , &Lambda; 2 = 93.4235 - 84.16 - 96.1038 124.91112
3, improve the performance of system
For the further performance of improvement system, the error input of system controller is compensated, i.e. manual adjustments Λ 3Value.Actual proof: work as setting &Lambda; 3 = - 0.3 0 0 - 0.3 The time, the output response of system has improvement.Add that promptly the overshoot of system further reduces behind the anti-saturation static compensation device that is proposed, Xiang Ying rapidity increases simultaneously, and reduce stabilization time.

Claims (3)

1, a kind of definite method of error feedback anti-saturation static compensation device is characterized in that, existing error feedback compensation Unified frame is improved, and introduces Error Feedback compensator Λ 3, Λ 3With sending into feedback channel after the processing of the error signal between the actuator input and output signal that collects, on this basis, at first use the method for Unified frame to determine controller
Figure C2004100667840002C1
Structural parameters with object P (s); When guaranteeing to obtain better serviceability, the optimizing stability problem is converted into the convex set optimization problem then, thus two feedback compensator Λ before determining to improve 1,2Structural parameters; By to another compensator Λ 3Adjusting, improve the output response of system, determine compensator Λ simultaneously 3Structure, comprise three parts:
(1) construction linear time invariant system
To analyze a real system, at first must carry out modeling to system, accurately replace real system with system chart, the Unified frame that adopts is based on that the control strategy of " two-step approach " forms: at first ignoring under the condition of nonlinear interaction, real system is configured as linear time invariant (LTI) system, and then the consideration nonlinear interaction, determine new controller parameter with the easiest existing method
(2) stability of system and serviceability optimization
Stability and serviceability are the basic problems that any control problem all must be considered, when serviceability is further optimized, the optimizing stability problem is converted into the LMI optimization problem, obtain the optimization solution of stability problem, this optimization solution is used to determine two compensator Λ in the former framework the most at last 1,2Structural parameters;
(3) performance of improvement system
By introducing Error Feedback compensator Λ 3And manual adjustments can be improved the performance of system.
2, definite method of error feedback anti-saturation static compensation device according to claim 1 is characterized in that,
Figure C2004100667840002C3
Determine by K (s) is unique, promptly
Figure C2004100667840002C4
Then
Figure C2004100667840002C5
3, definite method of error feedback anti-saturation static compensation device according to claim 1 is characterized in that, is guaranteeing certain system works performance index The basis on, stability problem is converted into the convex set optimization problem, specifically be whether the question resolves itself into is existed matrix M = diag ( M 1 , M 2 , K , M n u ) Following LMI is set up, and satisfied M>0, δ 1-1>0, Q=P -1In the time of>0 and Г>0, it is minimum making Г
QA T + AQ B w B v M - B &xi; X + QC u T QC z T 0 B w T - &Gamma; D uw T D zw T 0 MB v T - X T B &xi; T + C u Q D uw l MD zv T - X T D z&xi; T M C z Q D zw D zv M - D z&xi; X - &gamma; - 1 0 0 0 M 0 - &delta; 1 I < 0
Wherein: l = - 2 M + D uv M + MD uv T - D u&xi; X - X T D u&xi; T . From the feasible solution X and the M of following formula, determine two compensator Λ in original framework 1,2Structural parameters, compensator determines that formula is: Λ=XM -1
CN 200410066784 2004-09-29 2004-09-29 Error feedback anti-saturation static compensation controller and determining method for compensator Expired - Fee Related CN1275111C (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN 200410066784 CN1275111C (en) 2004-09-29 2004-09-29 Error feedback anti-saturation static compensation controller and determining method for compensator

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN 200410066784 CN1275111C (en) 2004-09-29 2004-09-29 Error feedback anti-saturation static compensation controller and determining method for compensator

Publications (2)

Publication Number Publication Date
CN1588246A CN1588246A (en) 2005-03-02
CN1275111C true CN1275111C (en) 2006-09-13

Family

ID=34604093

Family Applications (1)

Application Number Title Priority Date Filing Date
CN 200410066784 Expired - Fee Related CN1275111C (en) 2004-09-29 2004-09-29 Error feedback anti-saturation static compensation controller and determining method for compensator

Country Status (1)

Country Link
CN (1) CN1275111C (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104834217B (en) * 2015-04-27 2017-10-27 北京化工大学 Binary distillation column anti-saturation controls analysis system
CN104898425B (en) * 2015-05-19 2017-08-04 北京化工大学 Anti-saturation internal model control system design method based on static feedforward compensation

Also Published As

Publication number Publication date
CN1588246A (en) 2005-03-02

Similar Documents

Publication Publication Date Title
CN100337169C (en) Two-degree-of-freedom decoupling control system for multiple variable procedure in chemical production
CN1794117A (en) Resolution design method of decoupling controller of multivariable time delay system
Bayen et al. Time-optimal control of concentration changes in the chemostat with one single species
CN113077039B (en) Soft measurement method for total nitrogen TN of effluent based on task-driven RBF neural network
CN1275111C (en) Error feedback anti-saturation static compensation controller and determining method for compensator
CN1945470A (en) Two freedom decoupling smith pre-evaluating control system of industrial multiple variable time lag process
CN1275110C (en) Decoupling control system of chemical of chemical multivariable production process
Wang et al. Fuzzy optimization of continuous fermentations with cell recycling for ethanol production
Bayen et al. On the steady state optimization of the biogas production in a two-stage anaerobic digestion model
CN1932699A (en) Uncoupling control method for double-inputting and double-outputting system
CN1851572A (en) Method for designing inner mould self-setting digital controller
Mesquita et al. Machine learning applied for metabolic flux‐based control of micro‐aerated fermentations in bioreactors
CN104270046B (en) Motor control method based on speed and current two dimension fuzzy Model Self-Learning
CN1261764C (en) Off-line double correction method for assay value based on industrial soft measurement model
CN1275109C (en) Decoupling control system of chemial double input and double output producing pocess
CN1651567A (en) Nerve network reverse controller of biological fermentation device and its construction method
CN113757833B (en) Production mode and duty mode switching method and system based on data driving
CN115793557A (en) Control method of stock garbage in-situ humus drying system
CN1648801A (en) Method for setting robust PID controller parameter using nervous network
CN1490689A (en) Self-adaptation nonlinear time varying controller and controlling method thereof
Garhyan et al. Experimental investigation and confirmation of static/dynamic bifurcation behavior in a continuous ethanol fermentor. Practical relevance of bifurcation and the contribution of Harmon Ray
CN1235101C (en) Two-freedom control system for unstable chemical process
CN1049051C (en) Model-less control technology and controller for industrial control
CN103048926A (en) Online neural network inverse controller in biological fermentation process and construction method of controller
Ranjan et al. Decoupled adaptive control of glucose and dissolved oxygen for fed-batch methionine production using linear reference model

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
C17 Cessation of patent right
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20060913

Termination date: 20091029