DocumentCode :
1750970
Title :
An adaptive fuzzy sliding-mode controller design for induction servomotor system
Author :
Lin, Chih-Min ; Hsu, Chun-fei
Author_Institution :
Dept. of Electr Eng., Yuan Ze Univ., Tao-Yuan, Taiwan
Volume :
2
fYear :
2001
fDate :
25-28 July 2001
Firstpage :
889
Abstract :
An adaptive fuzzy sliding-mode control (AFSMC) design method is proposed to control an induction servomotor system. The proposed AFSMC system comprises a fuzzy controller and a compensation controller. The fuzzy controller is used to mimic an ideal computational controller. The compensation controller is designed to compensate for the difference between the ideal computational controller and the fuzzy controller. All parameters in the proposed AFSMC system are tuned in the Lyapunov sense; thus the stability of the system can be guaranteed. Simulation and experimental results verify that the proposed design method can achieve satisfactory control performance with regard to parameter variations and external disturbance
Keywords :
Lyapunov methods; adaptive control; compensation; control system synthesis; fuzzy control; induction motors; machine control; servomotors; stability; tuning; variable structure systems; Lyapunov stability; adaptive fuzzy sliding-mode controller design; compensation controller; control performance; external disturbance; fuzzy controller; ideal computational controller; induction servomotor system; parameter variations; simulation; tuning; Adaptive control; Computational modeling; Control systems; Design methodology; Fuzzy control; Fuzzy systems; Programmable control; Servomotors; Sliding mode control; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
Type :
conf
DOI :
10.1109/NAFIPS.2001.944722
Filename :
944722
Link To Document :
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