Fault detection and isolation using sliding mode observer for uncertain Takagi-Sugeno fuzzy model

被引：0
|
作者：
Akhenak, Abdelkader [1 ]
Chadli, Mohammed [2 ]
Ragot, Jose [3 ]
Maquin, Didier [3 ]
机构：
[1] IRSEEM, Technopole Madrillet, F-76801 St Etienne, France
[2] MIS UPJV, Lab Modelisa Informat Syst, F-80000 Amiens, France
[3] Ctr Recherche Automatique Nancy, F-54516 Vandoeuvre Les Nancy, France
来源：
2008 MEDITERRANEAN CONFERENCE ON CONTROL AUTOMATION, VOLS 1-4 | 2008年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
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页码：1626 / +
页数：2
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