KR960015121A - Self-tuning Method of PID Gains Using Fuzzy Inference - Google Patents

Self-tuning Method of PID Gains Using Fuzzy Inference Download PDF

Info

Publication number
KR960015121A
KR960015121A KR1019940025987A KR19940025987A KR960015121A KR 960015121 A KR960015121 A KR 960015121A KR 1019940025987 A KR1019940025987 A KR 1019940025987A KR 19940025987 A KR19940025987 A KR 19940025987A KR 960015121 A KR960015121 A KR 960015121A
Authority
KR
South Korea
Prior art keywords
pid
fuzzy inference
obtaining
response
self
Prior art date
Application number
KR1019940025987A
Other languages
Korean (ko)
Other versions
KR970005554B1 (en
Inventor
김정균
Original Assignee
이대원
삼성항공산업 주식회사
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 이대원, 삼성항공산업 주식회사 filed Critical 이대원
Priority to KR1019940025987A priority Critical patent/KR970005554B1/en
Publication of KR960015121A publication Critical patent/KR960015121A/en
Application granted granted Critical
Publication of KR970005554B1 publication Critical patent/KR970005554B1/en

Links

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B11/00—Automatic controllers
    • G05B11/01—Automatic controllers electric
    • G05B11/36—Automatic controllers electric with provision for obtaining particular characteristics, e.g. proportional, integral, differential
    • G05B11/42—Automatic 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.
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265—Adaptive 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
    • G05B13/0275—Adaptive 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/02—Computing arrangements based on specific mathematical models using fuzzy logic

Abstract

본 발명은 퍼지 추론을 이용한 PID 이득의 자기 동조 방법에 관한 것이다.The present invention relates to a self tuning method of PID gains using fuzzy inference.

본 발명은 제어기의 초기 수행 시, 지글러-니콜스 방법으로 PID계수의 개략적인 값을 결정하는 단계; 프로세스의 최적 제어응답이 되는 PID계수를 목표치, 제어량의 파형으로부터 구하는 단계; 구해진 PID계수의 변경에 필요한 특정량을 구하는 단계; 및 상기 특징량을 퍼지추론에 의해 미세조정하는 단계를 포함하고 있다.The present invention includes the steps of determining the approximate value of the PID coefficients by the Ziegler-Nichols method in the initial execution of the controller; Obtaining a PID coefficient that is an optimum control response of the process from a target value and a waveform of a control amount; Obtaining a specific amount required to change the obtained PID coefficients; And fine-tuning the feature amount by fuzzy inference.

따라서, 제어 응답 파형의 응답으로부터 퍼지 추론에 의해 PID 이득을 결정하여 자기 스스로 동조하게 되므로, 종래와 같이 PID계수조정을 위한 전문가 확보의 어려움을 극복할 수 있고, 제어대상 출력인 제어량이 바로 퍼지추론의 입력변수가 되어 항시 감시되므로 최적의 응답상태를 유지할 수 있다.Therefore, since the PID gain is determined by fuzzy inference from the response of the control response waveform, the PID gain is tuned by itself. Thus, it is possible to overcome the difficulty of securing an expert for the PID coefficient adjustment as in the prior art. As it is an input variable of, it is always monitored so that the optimum response state can be maintained.

Description

퍼지추론을 이용한 피아이디(PlD) 이득의 자기 동조 방법Self Tuning Method of Pid Gain Using Fuzzy Inference

본 내용은 요부공개 건이므로 전문내용을 수록하지 않았음As this is a public information case, the full text was not included.

제5도는 본 발명에 따른 퍼지 추론을 이용한 PID 이득의 자기 동조방법에 있어서, PID 계수 조정의 시스템 블록선도.5 is a system block diagram of PID coefficient adjustment in a method of self tuning a PID gain using fuzzy inference according to the present invention.

Claims (1)

제어기의 초기 수행 시, 지글러-니콜스 방법으로 PlD계수의 개략적인 값을 결정하는 단계; 프로세스의 최적 제어응답이 되는 PID 계수를 목표치, 제어량의 파형으로부터 구하는 단계; 구해진 PID 계수의 변경에 필요한 특징량을 구하는 단계; 및 상기 특징량을 퍼지 추론에 의해 미세조정하는 단계를 포함하여 된 것을 특징으로 하는 퍼지 추론을 이용한 PID 이득의 자기 동조 방법.Upon initial execution of the controller, determining the approximate value of the PlD coefficient by the Ziegler-Nichols method; Obtaining a PID coefficient which becomes an optimum control response of the process from a waveform of a target value and a control amount; Obtaining a feature amount necessary for changing the obtained PID coefficients; And fine-adjusting the feature amount by fuzzy inference. ※ 참고사항 : 최초출원 내용에 의하여 공개하는 것임.※ Note: The disclosure is based on the initial application.
KR1019940025987A 1994-10-11 1994-10-11 Method of gain control using puzzy technique KR970005554B1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
KR1019940025987A KR970005554B1 (en) 1994-10-11 1994-10-11 Method of gain control using puzzy technique

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR1019940025987A KR970005554B1 (en) 1994-10-11 1994-10-11 Method of gain control using puzzy technique

Publications (2)

Publication Number Publication Date
KR960015121A true KR960015121A (en) 1996-05-22
KR970005554B1 KR970005554B1 (en) 1997-04-17

Family

ID=19394858

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1019940025987A KR970005554B1 (en) 1994-10-11 1994-10-11 Method of gain control using puzzy technique

Country Status (1)

Country Link
KR (1) KR970005554B1 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20050119968A (en) * 2004-06-17 2005-12-22 조병완 Burning method and apparatus under the heated pulverization status of solid fuel

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100978267B1 (en) * 2003-03-26 2010-08-26 엘에스산전 주식회사 Pid auto synchronization method for using reaction curve
KR100748358B1 (en) 2006-08-08 2007-08-09 삼성에스디아이 주식회사 Logic gate, scan driver and organic light emitting display using the same

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20050119968A (en) * 2004-06-17 2005-12-22 조병완 Burning method and apparatus under the heated pulverization status of solid fuel

Also Published As

Publication number Publication date
KR970005554B1 (en) 1997-04-17

Similar Documents

Publication Publication Date Title
Schei A method for closed loop automatic tuning of PID controllers
MX9702973A (en) Model predictive control apparatus and method.
US4663703A (en) Predictive model reference adaptive controller
He et al. Fuzzy self-tuning of PID controllers
KR920008564A (en) Adaptive control device of process control system and its method
JP3275327B2 (en) PID controller
KR880003229A (en) Adaptive Process Control
WO1995009415B1 (en) Active control system for noise shaping
KR910006807A (en) Processing control unit
KR890015122A (en) Process Controls and Methods
KR960015121A (en) Self-tuning Method of PID Gains Using Fuzzy Inference
JP2002182705A (en) Feedback controller
US6055459A (en) Method for preventing windup in PID controllers employing nonlinear gain
Ho et al. Comparative studies of three adaptive controllers
KR100543835B1 (en) Device and method for controlling an operating variable of a motor vehicle
KR910017257A (en) Process control system
JPS5990103A (en) Automatic tuner
KR970005553B1 (en) Pid controller
JPS5969807A (en) Auto-tuning system for parameter of pid adjustor
Kovacic et al. Adaptive fuzzy logic control based on integral criterion
RU2027211C1 (en) Self-tuning control system provided with standard model
Wang et al. An effective frequency domain approach to tuning non-PID controllers for high performance
JPH0527804A (en) Optimum process controller
JPH0277801A (en) Self-tuning controller
KR970002166A (en) How to control evaporator superheat of air conditioner

Legal Events

Date Code Title Description
A201 Request for examination
G160 Decision to publish patent application
E701 Decision to grant or registration of patent right
GRNT Written decision to grant
FPAY Annual fee payment

Payment date: 20050830

Year of fee payment: 9

LAPS Lapse due to unpaid annual fee