Auto-tuning adaptive control system using fuzzy inference

Author

Hirata, Hiroshi ; Ratiroch-anant, Phornsuk ; Pruapanij, V. ; Anabuki, Masatoshi ; Ngamwiwit, Jongkol

Author_Institution

Dept. of Control Eng., Tokai Univ., Kanagawa, Japan

Volume

6

fYear

1999

fDate

1999

Firstpage

156

Abstract

A practical design method of a strongly stable system for adaptive control is proposed. When the system parameter changes greatly, a series compensator with unstable poles appears in an adaptive pole placement control system frequently, even if the closed-loop system is designed to be an optimal servo system. However, the appearance of an unstable series compensator in this control system is undesirable in terms of stability. A strongly stable adaptive control system is achieved, by adjusting automatically the weight of a performance index in the optimal control on the basis of a stability index. Fuzzy inference is effectively introduced into this adaptive control system in order to adjust the performance weight appropriately. In addition, numerical simulation is used to prove that the proposed method provides sufficient performance regarding both tuning and control

Keywords

adaptive control; compensation; control system synthesis; fuzzy control; fuzzy logic; optimal control; performance index; pole assignment; stability; tuning; adaptive pole placement control system; auto-tuning adaptive control system; fuzzy inference; optimal servo system; series compensator; stability index; strongly stable system; unstable poles; Adaptive control; Automatic control; Control systems; Design methodology; Fuzzy control; Fuzzy systems; Optimal control; Programmable control; Stability; State feedback;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on

Conference_Location

Tokyo

ISSN

1062-922X

Print_ISBN

0-7803-5731-0

Type

conf

DOI

10.1109/ICSMC.1999.816507

Filename

816507