Model reference I-PD controller using fuzzy reasoning

Author

Okayasu, Takeshi ; Matsuoka, Toshinobu ; Ishida, Yoshihisa

Author_Institution

Dept. of Electron. & Commun., Meiji Univ., Kawasaki, Japan

fYear

1994

fDate

26-29 Jun 1994

Firstpage

535

Abstract

We propose an automatic tuning method for I-PD (or PID) parameters using expert system with a rule base. The I-PD controllers based on optimal control are widely used because they have good disturbance rejection and low sensitivity. However, the effective method of auto-tuning I-PD controllers has not been presented yet. In this paper, we attempt to use fuzzy reasoning as a controller. Simulation results show that the proposed method is effective for actual plant control

Keywords

fuzzy control; fuzzy logic; inference mechanisms; knowledge based systems; model reference adaptive control systems; optimal control; three-term control; tuning; automatic tuning; disturbance rejection; expert system; fuzzy logic control; fuzzy reasoning; model reference PID controller; rule based system; three term control; Automatic control; Communication system control; Control systems; Error correction; Expert systems; Fuzzy control; Fuzzy reasoning; Optimal control; Performance gain; Three-term control;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-1896-X

Type

conf

DOI

10.1109/FUZZY.1994.343728

Filename

343728