DocumentCode :
3518350
Title :
New adaptive fuzzy sliding-mode control system for SISO nonlinear system
Author :
Yu, Jinyong ; Gu, Wenjin ; Zhang, Youan
Author_Institution :
Dept. of Autom. Control, Naval Aeronaut. Eng. Inst., Yantai, China
Volume :
2
fYear :
2004
fDate :
15-19 June 2004
Firstpage :
1196
Abstract :
A new adaptive fuzzy sliding-mode control (FSMC) scheme was proposed, which incorporated the fuzzy logic into sliding-mode control using fuzzy logic to approximate the equivalent control and the upper bound of uncertainty which involved the disturbance and approximation error, thus the influence of modeling error was reduced and the gain of sliding-mode control part was more fitting, such that the chattering effects could be alleviated . Besides, inspired by the thought of fully tuned RBF neural networks, a fully tuned fuzzy logic was proposed which enhanced the approximating ability of fuzzy logic system. Lyapunov stability theorem was used to prove the stability of the system and the adaptive laws were deduced. Finally, simulation results of some BTT missile were included to illustrate the effectiveness of the adaptive fuzzy sliding-mode control scheme.
Keywords :
Lyapunov methods; adaptive control; errors; fuzzy control; fuzzy logic; missile control; nonlinear control systems; radial basis function networks; stability; variable structure systems; BTT missile; Lyapunov stability theorem; RBF neural networks; SISO nonlinear system; adaptive fuzzy sliding-mode control system; approximation error; chattering effects; equivalent control; fuzzy logic; modeling error; Adaptive control; Adaptive systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Nonlinear systems; Programmable control; Sliding mode control; Uncertainty; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
Type :
conf
DOI :
10.1109/WCICA.2004.1340804
Filename :
1340804
Link To Document :
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