CN105717788A - Fast reflecting mirror auto-disturbances rejection control system based on fuzzy proportion integration differentiation (PID) - Google Patents

Fast reflecting mirror auto-disturbances rejection control system based on fuzzy proportion integration differentiation (PID) Download PDF

Info

Publication number
CN105717788A
CN105717788A CN201610234889.9A CN201610234889A CN105717788A CN 105717788 A CN105717788 A CN 105717788A CN 201610234889 A CN201610234889 A CN 201610234889A CN 105717788 A CN105717788 A CN 105717788A
Authority
CN
China
Prior art keywords
fuzzy
module
control
reflecting mirror
input
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.)
Pending
Application number
CN201610234889.9A
Other languages
Chinese (zh)
Inventor
艾志伟
谭毅
朱能兵
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.)
Institute of Optics and Electronics of CAS
Original Assignee
Institute of Optics and Electronics of CAS
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 Institute of Optics and Electronics of CAS filed Critical Institute of Optics and Electronics of CAS
Priority to CN201610234889.9A priority Critical patent/CN105717788A/en
Publication of CN105717788A publication Critical patent/CN105717788A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B11/00Automatic controllers
    • G05B11/01Automatic controllers electric
    • G05B11/36Automatic controllers electric with provision for obtaining particular characteristics, e.g. proportional, integral, differential
    • G05B11/42Automatic controllers electric with provision for obtaining particular characteristics, e.g. proportional, integral, differential for obtaining a characteristic which is both proportional and time-dependent, e.g. P. I., P. I. D.
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • 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
    • G05B13/0265Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G05B13/0275Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using fuzzy logic only
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D3/00Control of position or direction
    • G05D3/12Control of position or direction using feedback

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • Mathematical Physics (AREA)
  • Fuzzy Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Feedback Control In General (AREA)

Abstract

The invention provides a fast reflecting mirror auto-disturbances rejection control system based on fuzzy proportion integration differentiation (PID).The fast reflecting mirror auto-disturbances rejection control system comprises an input module, a conventional PID module, a fuzzy controller, a feed-forward correction module, a fast reflecting mirror system, a grating amesdial and an output module.The control module performs fuzzy processing on system deviation and deviation change rate through set fuzzy control rules and sets three control parameters of a PID controller, and the three control parameters act on a forward path and feed-forward correction links of the fast reflecting mirror control system respectively and are respectively used for controlling interference to the control system caused by motion and compensation disturbing signals of a fast reflecting mirror.Due to the fact that a control method does not rely on a precise mathematic mode of the fast reflecting mirror and does not require types of known disturbing signals, the control method has a wide applied range.

Description

A kind of fast mirror Active Disturbance Rejection Control system based on fuzzy
Technical field
The invention belongs to precision optical machinery control field, be specifically related to a kind of fast mirror Active Disturbance Rejection Control system based on fuzzy.
Background technology
Fast mirror is the vitals in optical system, and it has the outstanding features such as fast response time, bandwidth height, compact conformation.Owing to its deflection angle is less, therefore generally form compound axis tracking system together with the track frame of big corner and moving target is caught and follows the tracks of.
Due to the complexity of working environment, quick reflex mirror system is inevitably subject to the impact of various interference factor, and these interference signals can cause that system can not produce accurate output, or even causes the distortion of output signal.Therefore the interference signal impact on systematic function should be taken into full account when designing fast mirror and controlling system so that it is the disturbing signal of input is had strong rejection ability.Therefore, how to reduce disturbance very necessary to the effect of fast mirror in research.
PID controls technology and has a wide range of applications in the control of fast mirror, is the control program of a kind of comparative maturity.Conventional fast mirror PID controller design method has pole zero cancellation method and incomplete differential method, but both controller design methods are desirable that and pick out more accurate controlled device mathematical model, and this is extremely difficult for the such complication system of fast mirror.
Fuzzy control is a kind of rule-based control, need not set up the accurate mathematical model of controlled device in the design process, thus have good robustness.Disturbing signal has uncertain characteristic, is difficult to represent interference signal by a concrete expression formula.
Summary of the invention
The technical problem to be solved in the present invention is: the problem that and fast mirror accurate not for fast mirror transmission function can be subject to unknown disturbance effect of signals, it is provided that a kind of fast mirror Active Disturbance Rejection Control system based on fuzzy.This fast mirror controls system can according to the rate of change of the deviation of mirror angle and deviation, real-time adjustment pid parameter, make quick reflex mirror system to respond faster, overshoot less, and improve stable state accuracy;Meanwhile, it is automatically adjusted the parameters of forward feedback correction link by fuzzy controller, makes the disturbing signal to fast mirror to be precisely compensated for, make disturbing signal reach minimum on the impact of quick reflex mirror system.
This invention address that its technical problem adopts following technical scheme: a kind of fast mirror Active Disturbance Rejection Control system based on fuzzy, including input module, traditional PI D-module, fuzzy controller, forward feedback correction module, quick reflex mirror system, grating micrometer and output module;The input of fuzzy controller accesses the error signal in system forward path and error change signal, and outfan accesses traditional PID module and forward feedback correction module, each serves as the effect that through path parameter and forward feedback correction module parameter are adjusted;
Described input module comprises signal processing and AD interface;
Described fuzzy controller, by defuzzification interface, fuzzy rule base, inference machine, defuzzification interface and fuzzy parameters self-turning module composition;Wherein, defuzzification interface is the input interface of fuzzy controller, and effect is that the input of the amount of determination really is converted to a fuzzy vector;Fuzzy rule base is used to deposit whole fuzzy control rule, provides rule when reasoning for inference machine;Inference machine is according to input fuzzy quantity, fuzzy control rule complete fuzzy reasoning to solve fuzzy relation equation and to obtain the part of fuzzy control quantity;Defuzzification interface is that the fuzzy control quantity tried to achieve is converted into the process controlling clearly and exporting;Described fuzzy parameters self-turning module, carries out on-line tuning to obtain Optimal Control effect by the output parameter of defuzzification interface;
Traditional PI D-module is made up of ratio, integration and differential control part, for the deviation between the actual rotational angle value according to fast mirror and setting corner value, with reference in the past, for now, estimates various situations in the future, it is achieved the control of system invariant parameter;
Described forward feedback correction module has two input interfaces, receives the input parameter of disturbing signal and fuzzy controller respectively;
The position of fast mirror can accurately be measured by described grating micrometer.
Wherein, described fuzzy parameters self-turning module, it is possible to the parameter KP of PID controller, KI, KD are carried out on-line tuning, obtains the Optimal Control effect to fast mirror.
The fast mirror based on fuzzy of the offer of the present invention controls system, and its use scope is: use in the control of fast mirror corner.
Compared with prior art, the beneficial effects of the present invention is, it is possible to make quick reflex mirror system have better time domain specification (including dynamic response characteristic and steady-state characteristic).Owing to hardly resulting in the mathematical models of fast mirror in engineering, when therefore using traditional PID to control fast mirror, often have the control system oscillation caused owing to parameter adjustment is improper, the phenomenon of unstable working condition.And fuzzy-adaptation PID control is independent of accurate mathematical model, thus the Parameters variation of system is insensitive, it is possible to obtain control effect preferably.Using the pid control parameter after fuzzy controller processes as inputing to feedforward disturbing signal, when disturbing signal is unknown, disturbance can be compensated, makes disturbing signal that the effect of quick reflex mirror system to be reduced, under theoretical case, it is possible to be decreased to zero.
Accompanying drawing explanation
Fig. 1 is based on the structure of fuzzy controller figure of the fast mirror Active Disturbance Rejection Control system of fuzzy.
Fig. 2 is based on the structure principle chart of the fast mirror Active Disturbance Rejection Control system of fuzzy.
Fig. 3 is based on the fast mirror Active Disturbance Rejection Control system control block figure of fuzzy.
Detailed description of the invention
The present invention is further illustrated below in conjunction with the drawings and specific embodiments.
The Active Disturbance Rejection Control system structure schematic diagram based on fuzzy of the proposition of the present invention is as in figure 2 it is shown, include input module, PID module, fuzzy controller, forward feedback correction module, quick reflex mirror system, grating micrometer.Wherein fuzzy controller is by carrying out Fuzzy Processing to the deviation e and deviation variation rate de/dt of the fast mirror actual deflection angle of input with the deflection angle of setting, two precise volume are become fuzzy quantity, then fuzzy decision is carried out further according to fuzzy control rule, obtain needing the fuzzy control quantity of output, finally carry out defuzzification process and adjust, obtaining output controlled quentity controlled variable KP, KI accurately, KD, and these control parameters are inputed to PID controller and forward feedback correction module.The transmission function of conventional PID controllers is:
G c ( s ) = K P + K I 1 s + K D s
The control block diagram of the Active Disturbance Rejection Control system based on fuzzy that the present invention proposes is as shown in Figure 3.The transmission function of disturbing signal can be calculated to obtain according to mason gain formual:
Φ n ( s ) = C ( s ) N ( s ) = G ( s ) [ 1 + G c ( s ) G n ( s ) ] 1 + G c ( s ) G ( s )
Make disturbing signal reach minimum on the impact of quick reflex mirror system, i.e. C (s)=0, thus can push away:
G n ( s ) = - 1 G c ( s ) = - s KDs 2 + K P s + K I
Owing to this full compensation condition is difficulty with in actual applications, therefore, engineering is generally adopted the approximate full scheme compensated, so that feedforward compensation device is prone to physics realization, if order:
G n ( s ) = - 1 G c ( s ) = - s KDs 2 + K P s + K I = s ( T 1 s + 1 ) KDs 2 + K P s + K I , T 1 → 0
Then GnS () is capable of physically, and reach the approximate full requirement compensated.
Three of fuzzy controller output control parameter KP, KI, KD and directly influence the compensation to disturbing signal of the forward feedback correction link.The disturbing signal of fast mirror effect can be delivered on input parameter e and the de/dt of fuzzy controller by feedback element, when it changes, the output parameter KP of fuzzy controller, KI, KD also can change the impact compensating new disturbing signal to quick reflex mirror system therewith, it is possible to is always ensured that the effect of quick reflex mirror system is reached minimum by disturbing signal.
The fast mirror Active Disturbance Rejection Control system based on fuzzy that the present invention proposes, its work process is: first being inputted fast mirror by input interface needs the angle of deflection, now, fast mirror can produce an actual output deflection angle, fuzzy controller defuzzification interface can receive output deflection angle and the deviation and the deviation variation rate that input deflection angle, and according in fuzzy rule base, data are made inferences, obtain fuzzy control quantity, and fuzzy control quantity is carried out defuzzification process, carry out parameter tuning again, obtain three control coefrficients of PID controller, if system exists disturbing signal, these three can be controlled parameter simultaneously and input to forward feedback correction module by fuzzy controller, the closed loop transfer function making the bang path of disturbing signal is zero, under theoretical case, the disturbance output of quick reflex mirror system also will be zero, owing to fuzzy controller is independent of accurate mathematical model, therefore this fast mirror control system has good robustness.

Claims (3)

1. the fast mirror Active Disturbance Rejection Control system based on fuzzy, it is characterised in that: include input module, traditional PI D-module, fuzzy controller, forward feedback correction module, quick reflex mirror system, grating micrometer and output module;The input of fuzzy controller accesses the error signal in system forward path and error change signal, and outfan accesses traditional PID module and forward feedback correction module, each serves as the effect that through path parameter and forward feedback correction module parameter are adjusted;
Described input module comprises signal processing and AD interface;
Described fuzzy controller, by defuzzification interface, fuzzy rule base, inference machine, defuzzification interface and fuzzy parameters self-turning module composition;Wherein, defuzzification interface is the input interface of fuzzy controller, and effect is that the input of the amount of determination really is converted to a fuzzy vector;Fuzzy rule base is used to deposit whole fuzzy control rule, provides rule when reasoning for inference machine;Inference machine is according to input fuzzy quantity, fuzzy control rule complete fuzzy reasoning to solve fuzzy relation equation and to obtain the part of fuzzy control quantity;Defuzzification interface is that the fuzzy control quantity tried to achieve is converted into the process controlling clearly and exporting;Described fuzzy parameters self-turning module, carries out on-line tuning to obtain Optimal Control effect by the output parameter of defuzzification interface;
Traditional PI D-module is made up of ratio, integration and differential control part, for the deviation between the actual rotational angle value according to fast mirror and setting corner value, with reference in the past, for now, estimates various situations in the future, it is achieved the control of system invariant parameter;
Described forward feedback correction module has two input interfaces, receives the input parameter of disturbing signal and fuzzy controller respectively;
The position of fast mirror can accurately be measured by described grating micrometer.
2. the fast mirror Active Disturbance Rejection Control system based on fuzzy according to claim 1, it is characterized in that described fuzzy parameters self-turning module, the parameter KP of PID controller, KI, KD can be carried out on-line tuning, obtain the Optimal Control effect to fast mirror.
3. the fast mirror Active Disturbance Rejection Control system based on fuzzy according to claim 1, it is characterised in that its use scope is: use in the control of fast mirror corner.
CN201610234889.9A 2016-04-13 2016-04-13 Fast reflecting mirror auto-disturbances rejection control system based on fuzzy proportion integration differentiation (PID) Pending CN105717788A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610234889.9A CN105717788A (en) 2016-04-13 2016-04-13 Fast reflecting mirror auto-disturbances rejection control system based on fuzzy proportion integration differentiation (PID)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610234889.9A CN105717788A (en) 2016-04-13 2016-04-13 Fast reflecting mirror auto-disturbances rejection control system based on fuzzy proportion integration differentiation (PID)

Publications (1)

Publication Number Publication Date
CN105717788A true CN105717788A (en) 2016-06-29

Family

ID=56160257

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610234889.9A Pending CN105717788A (en) 2016-04-13 2016-04-13 Fast reflecting mirror auto-disturbances rejection control system based on fuzzy proportion integration differentiation (PID)

Country Status (1)

Country Link
CN (1) CN105717788A (en)

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105911869A (en) * 2016-06-30 2016-08-31 中国科学院光电技术研究所 Interference observation based quick reflector disturbance restraining method
CN106707766A (en) * 2017-03-09 2017-05-24 中国科学院光电技术研究所 Error observer-based feedforward control method of fast mirror
CN107272411A (en) * 2017-07-11 2017-10-20 中国科学院光电技术研究所 A kind of fast anti-mirror beamstability control method of plug-in type accelerator feedback
CN107728472A (en) * 2017-09-04 2018-02-23 中国科学院光电技术研究所 A kind of fast anti-mirror disturbance observation compensating control method based on single accelerometer
CN108931916A (en) * 2018-07-17 2018-12-04 西安交通大学 The tracking control system of anti-mirror and bandwidth improve and phase-lag compensation method electromagnetic type fastly
CN109932894A (en) * 2019-01-31 2019-06-25 中国科学院上海光学精密机械研究所 Fuzzy servo controller and its method of servo-controlling
CN111007664A (en) * 2019-12-18 2020-04-14 中国科学院光电技术研究所 Design method of diffractive optical element with high diffraction efficiency and low speckle noise
CN111663032A (en) * 2020-06-01 2020-09-15 浙江兆晶电气科技有限公司 Novel active disturbance rejection temperature control method for amorphous iron core annealing furnace
CN112904712A (en) * 2020-12-14 2021-06-04 天津津航技术物理研究所 State matrix-based optimal feedback control method applied to composite axis system

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0428742A1 (en) * 1989-05-12 1991-05-29 Fanuc Ltd. Method of sliding mode control
JP2004272634A (en) * 2003-03-10 2004-09-30 Yosio Electronic Co Fuzzy pid control method and its apparatus, as well as program thereof
CN102032640A (en) * 2009-09-25 2011-04-27 西安西翼智能科技有限公司 Fuzzy proportion integration differentiation (PID) control method and device for industrial environment high-precision air conditioner
CN102129221A (en) * 2010-01-15 2011-07-20 丹纳赫西特传感工业控制(天津)有限公司 Fuzzy control-based special PID (Proportion Integration Differentiation) method for controlling temperature of plastic extrusion device
CN104714569A (en) * 2015-03-16 2015-06-17 重庆工商职业学院 Vehicle body vibration control system and method based on fuzzy PID control

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0428742A1 (en) * 1989-05-12 1991-05-29 Fanuc Ltd. Method of sliding mode control
JP2004272634A (en) * 2003-03-10 2004-09-30 Yosio Electronic Co Fuzzy pid control method and its apparatus, as well as program thereof
CN102032640A (en) * 2009-09-25 2011-04-27 西安西翼智能科技有限公司 Fuzzy proportion integration differentiation (PID) control method and device for industrial environment high-precision air conditioner
CN102129221A (en) * 2010-01-15 2011-07-20 丹纳赫西特传感工业控制(天津)有限公司 Fuzzy control-based special PID (Proportion Integration Differentiation) method for controlling temperature of plastic extrusion device
CN104714569A (en) * 2015-03-16 2015-06-17 重庆工商职业学院 Vehicle body vibration control system and method based on fuzzy PID control

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
刘日龙等: ""音圈电机伺服***模糊PID控制"", 《微特电机》 *
田福庆等: "《舰载激光武器跟踪与瞄准控制》", 30 April 2015, 国防工业出版社 *

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105911869A (en) * 2016-06-30 2016-08-31 中国科学院光电技术研究所 Interference observation based quick reflector disturbance restraining method
CN105911869B (en) * 2016-06-30 2019-01-22 中国科学院光电技术研究所 A kind of fast mirror Disturbance Rejection method based on disturbance-observer
CN106707766A (en) * 2017-03-09 2017-05-24 中国科学院光电技术研究所 Error observer-based feedforward control method of fast mirror
CN106707766B (en) * 2017-03-09 2020-05-01 中国科学院光电技术研究所 Error observer-based feed-forward control method for fast reflecting mirror
CN107272411A (en) * 2017-07-11 2017-10-20 中国科学院光电技术研究所 A kind of fast anti-mirror beamstability control method of plug-in type accelerator feedback
CN107728472A (en) * 2017-09-04 2018-02-23 中国科学院光电技术研究所 A kind of fast anti-mirror disturbance observation compensating control method based on single accelerometer
CN108931916A (en) * 2018-07-17 2018-12-04 西安交通大学 The tracking control system of anti-mirror and bandwidth improve and phase-lag compensation method electromagnetic type fastly
CN109932894A (en) * 2019-01-31 2019-06-25 中国科学院上海光学精密机械研究所 Fuzzy servo controller and its method of servo-controlling
CN111007664A (en) * 2019-12-18 2020-04-14 中国科学院光电技术研究所 Design method of diffractive optical element with high diffraction efficiency and low speckle noise
CN111663032A (en) * 2020-06-01 2020-09-15 浙江兆晶电气科技有限公司 Novel active disturbance rejection temperature control method for amorphous iron core annealing furnace
CN111663032B (en) * 2020-06-01 2022-02-18 浙江兆晶电气科技有限公司 Active disturbance rejection temperature control method for amorphous iron core annealing furnace
CN112904712A (en) * 2020-12-14 2021-06-04 天津津航技术物理研究所 State matrix-based optimal feedback control method applied to composite axis system

Similar Documents

Publication Publication Date Title
CN105717788A (en) Fast reflecting mirror auto-disturbances rejection control system based on fuzzy proportion integration differentiation (PID)
CN102681489B (en) Control method for motion stability and outline machining precision of multi-shaft linkage numerical control system
KR900005546B1 (en) Adaptive process control system
CN108958032B (en) Total amount cooperative and consistent control method of nonlinear multi-agent system
CN108614425A (en) Mobile robot Adaptive Integral sliding-mode control
CN103034249A (en) Double-shaft photoelectric rotary table compound control system and control method based on fuzzy decision
CN110154028A (en) Mechanical arm model-free adaption integrates TSM control method
CN108205259A (en) Multiplex control system and its design method based on linear extended state observer
Meenakshipriya et al. Modelling and control of ball and beam system using coefficient diagram method (CDM) based PID controller
CN107490958A (en) A kind of Fuzzy Adaptive Control Scheme of series parallel robot in five degrees of freedom
Ding et al. Output feedback sliding mode control for path-tracking of autonomous agricultural vehicles
CN111142404A (en) Micro-positioning platform based on piezoelectric ceramic drive and modeling and control method thereof
CN109946979B (en) Self-adaptive adjusting method for sensitivity function of servo system
CN105278331A (en) Robust-adaptive neural network H-infinity control method of MEMS gyroscope
CN108845491A (en) The wisdom PI composite control method of Correction for Large Dead Time System
CN109100935A (en) The damping wisdom PI control method of Correction for Large Dead Time System
CN109358492A (en) A kind of photo-etching machine work-piece platform motion control method
Moghadam et al. Hierarchical optimal contour control of motion systems
Sun et al. Observer‐based compensation control of servo systems with backlash
US5796608A (en) Self controllable regulator device
CN116442223A (en) Nonlinear dynamic controller design method for track tracking of manipulator system
CN111077771A (en) Self-tuning fuzzy PID control method
Piltan et al. Design Auto Adjust Sliding Surface Slope: Applied to Robot Manipulator
CN112114517A (en) 3D printing temperature control algorithm
US20230324885A1 (en) Control assistance device, control system, and control assistance method

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20160629

WD01 Invention patent application deemed withdrawn after publication