Title :
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
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;
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
DOI :
10.1109/FUZZY.1994.343728
