Title :
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
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;
Conference_Titel :
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-5731-0
DOI :
10.1109/ICSMC.1999.816507
