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

Abdelkader Akhenak (1) , Mohammed Chadli (2) , José Ragot (3) , Didier Maquin (3)

1 IRSEEM - Institut de Recherche en Systèmes Electroniques Embarqués
2 MIS - Modélisation, Information et Systèmes - UR UPJV 4290
3 CRAN - Centre de Recherche en Automatique de Nancy

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.

Domains: Automatic

Abdelkader Akhenak, Mohammed Chadli, José Ragot, Didier Maquin. Fault detection and isolation using sliding mode observer for uncertain Takagi-Sugeno fuzzy model. 16th Mediterranean Conference on Control and Automation, MED'08, Jun 2008, Ajaccio, France. pp.286-291, ⟨10.1109/MED.2008.4602239⟩. ⟨hal-00279829⟩