State and multiplicative sensor fault estimation for nonlinear systems

Souad Bezzaoucha (1) , Benoît Marx (1) , Didier Maquin (1) , José Ragot (1)

1 CRAN - Centre de Recherche en Automatique de Nancy

This paper addresses the state and sensor fault estimation for nonlinear systems represented by Takagi-Sugeno (T-S) models. The considered faults are time-varying and with multiplicative effect on the sensor output signals. The proposed estimation procedure is based firstly on the sector nonlinearity approach using the convex polytopic transformation and secondly on the design of an observer allowing the fault estimation.

Mots clés: Fault detection and isolation; Fault-forecasting methods; Design for reliability and safety; Fault detection and isolation

Domaines: Automatique

Souad Bezzaoucha, Benoît Marx, Didier Maquin, José Ragot. State and multiplicative sensor fault estimation for nonlinear systems. 2nd International Conference on Control and Fault-Tolerant Systems, SysTol'13, Oct 2013, Nice, France. pp.CDROM, ⟨10.1109/SysTol.2013.6693898⟩. ⟨hal-00845838⟩