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