DocumentCode :
306265
Title :
Adaptive fuzzy sliding mode control of nonlinear system: the second control scheme
Author :
Jeoung, Sacheul ; Han, Jongkil ; Im, Kyumann ; Ham, Woonchul ; Yoo, Byungkook
Author_Institution :
Dept. of Electron. Eng., Chonbuk Nat. Univ., Chonju, South Korea
Volume :
1
fYear :
1996
fDate :
5-10 Aug 1996
Firstpage :
269
Abstract :
An adaptive sliding mode control scheme in which fuzzy logic systems (approximators) are used to approximate the unknown system functions of nonlinear systems is proposed. In order to reduce the approximation errors between the true nonlinear functions and fuzzy approximators, a robust adaptive law is also proposed. The stabilities of the proposed control schemes are proved. An inverted pendulum system is considered to verify the validities of the proposed schemes in simulation
Keywords :
adaptive control; approximation theory; control system analysis; control system synthesis; fuzzy control; nonlinear control systems; pendulums; robust control; variable structure systems; adaptive fuzzy sliding mode control; approximation errors; approximators; control design; control simulation; fuzzy approximators; inverted pendulum system; nonlinear functions; nonlinear systems; robust adaptive control law; Adaptive control; Approximation error; Fuzzy control; Fuzzy logic; Fuzzy systems; Nonlinear systems; Programmable control; Robustness; Sliding mode control; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, Control, and Instrumentation, 1996., Proceedings of the 1996 IEEE IECON 22nd International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-2775-6
Type :
conf
DOI :
10.1109/IECON.1996.570964
Filename :
570964
Link To Document :
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