State and sensor faults estimation via a proportional integral observer

Atef Kheder (1) , Kamel Benothman (1) , Didier Maquin (2) , Mohamed Benrejeb (1)

1 LR-Automatique-ENIT - Laboratoire d'Automatique [Tunis]
2 CRAN - Centre de Recherche en Automatique de Nancy

This paper deals with the problem of fault detection and identification in noisy systems. A proportional integral observer with unknown inputs is used in order to reconstruct state and sensors faults. A mathematical transformation is made to conceive an augmented system, in which the initial sensor fault appear as an unknown input. This reconstruction is made by the use of a proportionnel integral observer. The noise effect on the state and fault estimation errors is also minimized. The obtained results are then extended to nonlinear systems described by nonlinear Takagi-Sugeno models.

Keywords: State estimation; Takagi-Sugeno; sensor fault; unknown input; multiple model

Domains: Automatic

Atef Kheder, Kamel Benothman, Didier Maquin, Mohamed Benrejeb. State and sensor faults estimation via a proportional integral observer. 6th Multi-Conference on Systems, Signals and Devices, SSD'2009, Mar 2009, Djerba, Tunisia. pp.CDROM, ⟨10.1109/SSD.2009.4956795⟩. ⟨hal-00376446⟩