Design of a fuzzy observer for Takagi-Sugeno fuzzy model for fault detection and isolation

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 the design of an unknown input fuzzy observer for Takagi-Sugeno (T-S) fuzzy model subject to unknown inputs. The main contribution of the paper is the development of a robust fuzzy observer in presence of disturbances. Based on Lyapunov function, it is shown how to determine observers gains in linear matrix inequalities (LMI). The proposed T-S observer is used for detection and isolation of faults which can affect a nonlinear models. The validity of the proposed methodology is illustrated by estimating the yaw rate and the fault of automatic steering vehicle.

Domains: Automatic

Abdelkader Akhenak, Mohammed Chadli, José Ragot, Didier Maquin. Design of a fuzzy observer for Takagi-Sugeno fuzzy model for fault detection and isolation. 7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Safeprocess 2009, Jun 2009, Barcelonne, Spain. pp.CDROM, ⟨10.3182/20090630-4-ES-2003.00183⟩. ⟨hal-00368195⟩