DocumentCode :
2246822
Title :
Fault-tolerant tracking control design for a class of T-S fuzzy systems with actuator failures
Author :
Liu, Li-ying ; Gao, Zhi-feng ; Chen-Xia Jin ; Wang, Shu-yun
Author_Institution :
Dept. of Math., Handan Coll., Handan, China
Volume :
5
fYear :
2010
fDate :
11-14 July 2010
Firstpage :
2237
Lastpage :
2242
Abstract :
Based on the adaptive control technique, the problem of fault-tolerant tracking control for a class of T-S fuzzy systems with actuator failures is investigated in this study. The considered actuator failure is the loss of effectiveness, an adaptive fault-tolerant control law is proposed based on the online estimation of the actuator failures. For reducing the failure effect on the dynamic system, an adaptive compensation control input is added to the normal control law without fault detection and isolation (FDI) mechanism. According to Lyapunov approach, the dynamic tracking performance of the closed-loop system is optimized and the output responses of the dynamics asymptotically track that in fault case. Finally, simulation results are given to illustrate the effectiveness and potential of our approach.
Keywords :
Lyapunov methods; actuators; adaptive control; closed loop systems; compensation; control system synthesis; estimation theory; fault tolerance; fuzzy systems; tracking; Lyapunov approach; T-S fuzzy system; actuator failure; adaptive compensation control; adaptive fault-tolerant control law; closed-loop system; dynamic system; dynamic tracking performance; failure effect; fault-tolerant tracking control design; online estimation; Fault tolerance; Fault tolerant systems; Fault-tolerant control; T-S fuzzy systems; actuator failures; adaptive control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
Type :
conf
DOI :
10.1109/ICMLC.2010.5580641
Filename :
5580641
Link To Document :
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