DocumentCode :
402936
Title :
Study of fuzzy learning control for electro-hydraulic servo control systems
Author :
Yu, Shao-Juan ; Duan, Suo-lin ; Wu, Ju-hua
Author_Institution :
Dept. of Autom., Taiyuan Heavy Machinery Inst., China
Volume :
1
fYear :
2003
fDate :
2-5 Nov. 2003
Firstpage :
591
Abstract :
In this paper, the approach to combining the iterative learning control with the fuzzy control method is presented. The system not only has advantage of strong robustness in fuzzy control, but also uses appropriate learning arithmetic to update defective fuzzy rules. The reasonable fuzzy learning controller is designed and applied to an electro-hydraulic servo force control system. The result of simulation shows that the fuzzy learning control is superior to the conventional PID control systems.
Keywords :
adaptive control; control system synthesis; electrohydraulic control equipment; fuzzy control; fuzzy set theory; iterative methods; learning systems; robust control; servomechanisms; three-term control; PID control systems; electrohydraulic servo force control system; fuzzy control method; fuzzy learning control; iterative learning control; learning arithmetic; robustness; Arithmetic; Control systems; Force control; Fuzzy control; Fuzzy systems; Iterative methods; Robust control; Servomechanisms; Servosystems; Three-term control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
Type :
conf
DOI :
10.1109/ICMLC.2003.1264547
Filename :
1264547
Link To Document :
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