DocumentCode :
2740948
Title :
Decoupling Adaptive Fuzzy Sliding-Mode Control with Rule Reduction for Nonlinear System
Author :
Hung, Lon-Chen ; Chung, Hung-Yuan
Author_Institution :
Dept. of Electr. Eng., National Central Univ., Jhongli
fYear :
2006
fDate :
7-9 June 2006
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, adaptive fuzzy sliding-mode controller design approach with decoupling method is proposed. The decoupling method provides a simple way to achieve asymptotic stability for a class of fourth-order nonlinear system. The adaptive fuzzy sliding-mode control system is comprised of fuzzy controller and a compensation controller. The compensation controller is designed to compensate for the difference between the ideal computational controller and the fuzzy controller. Using this approach, the response of system will converge faster than that of previous reports. The simulation results for a ball-beam system presented to demonstrate the effectiveness and robustness of the method
Keywords :
adaptive control; asymptotic stability; compensation; control system synthesis; fuzzy control; nonlinear control systems; variable structure systems; asymptotic stability; ball-beam system; compensation controller; computational controller; decoupling adaptive fuzzy sliding-mode control; nonlinear system; rule reduction; Adaptive control; Adaptive systems; Asymptotic stability; Computational modeling; Control systems; Fuzzy control; Fuzzy systems; Nonlinear systems; Programmable control; Sliding mode control; fuzzy; mobile; robot;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cybernetics and Intelligent Systems, 2006 IEEE Conference on
Conference_Location :
Bangkok
Print_ISBN :
1-4244-0023-6
Type :
conf
DOI :
10.1109/ICCIS.2006.252236
Filename :
4017795
Link To Document :
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