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Communication Dans Un Congrès Année : 2009

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

Résumé

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.
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Dates et versions

hal-00368195 , version 1 (25-03-2014)

Identifiants

Citer

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⟩
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