DocumentCode :
1834638
Title :
Design of Stable T-S Fuzzy Controller for a Nonlinear Inverted Pendulum System
Author :
Almasi, Omid Naghash ; Shadman, Mohsen ; Avval, Omid Abri ; Zare, Alina
Author_Institution :
Islamic Azad Univ., Gonabad, Iran
Volume :
2
fYear :
2013
fDate :
26-27 Aug. 2013
Firstpage :
19
Lastpage :
22
Abstract :
Inverted pendulum is a classic example in the field of nonlinear control theory, which can be observed in the many real world control problems. In this paper, first, a feedback linearization control method is designed and employed to make informative pair of input-output data for controlling a nonlinear inverted pendulum. Then, Based on the pair of input-output data a stable T-S fuzzy controller is designed. The fuzzy clustering method (FCM) is used as a rule extraction approach to properly generate the fuzzy-rule base. Finally, the proposed controller is applied to a nonlinear inverted pendulum system. The results demonstrate the stability, the working, and the applicability of the proposed method.
Keywords :
control system synthesis; feedback; fuzzy control; fuzzy reasoning; fuzzy set theory; knowledge based systems; linearisation techniques; nonlinear control systems; pattern clustering; pendulums; stability; FCM; Takagi-Sugeno fuzzy control; feedback linearization control method; fuzzy clustering method; fuzzy-rule base; input-output data; nonlinear control theory; nonlinear inverted pendulum system; rule extraction approach; stable T-S fuzzy controller design; Adaptation models; Adaptive control; Control systems; Fuzzy control; Mathematical model; Nonlinear systems; FCM; Takagi-Sugeno fuzzy; inverted pendulum; nonlinear; rule extraction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-0-7695-5011-4
Type :
conf
DOI :
10.1109/IHMSC.2013.152
Filename :
6642680
Link To Document :
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