DocumentCode :
2620548
Title :
Fault detection and isolation using sliding mode observer for uncertain Takagi-Sugeno fuzzy model
Author :
Akhenak, Abdelkader ; Chadli, Mohammed ; Ragot, Jose ; Maquin, Didier
Author_Institution :
Inst. de Rech. en Syst. Embarques (IRSEEM), St. Etienne du Rouvray
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
286
Lastpage :
291
Abstract :
This paper addresses fault detection and isolation (FDI) problem using a sliding mode fuzzy observer on the basis of a uncertain Takagi-Sugeno (T-S) fuzzy model. First, a robust fuzzy observer with respect to the uncertainties is designed. The convergence of the fuzzy observer is performed by the search of suitable Lyapunov matrices. It is shown how to synthesis observers using a set of linear matrix inequalities (LMI) conditions. Once the fuzzy observer is designed, FDI problem for nonlinear systems described by T-S fuzzy systems using the fuzzy observer is presented. A bank of fuzzy observer is then designed in order to investigate fault diagnosis problems. The validity of the proposed methodology is illustrated on a dynamic vehicle model.
Keywords :
Lyapunov matrix equations; control system synthesis; convergence; fault diagnosis; fuzzy control; linear matrix inequalities; nonlinear control systems; observers; robust control; uncertain systems; variable structure systems; LMI; Lyapunov matrix; convergence; fault detection; fault isolation; linear matrix inequality; nonlinear system; robust fuzzy observer design; sliding mode observer; uncertain Takagi-Sugeno fuzzy model; Convergence; Fault detection; Fault diagnosis; Fuzzy systems; Linear matrix inequalities; Nonlinear systems; Robustness; Takagi-Sugeno model; Uncertainty; Vehicle dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Automation, 2008 16th Mediterranean Conference on
Conference_Location :
Ajaccio
Print_ISBN :
978-1-4244-2504-4
Electronic_ISBN :
978-1-4244-2505-1
Type :
conf
DOI :
10.1109/MED.2008.4602239
Filename :
4602239
Link To Document :
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