State and unknown input estimation via a proportional integral observer with unknown inputs

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

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 proportionnal integral observer with unknown inputs is used in order to estimate the state and the faults which are assumed as unknown inputs. 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.

Domains: Automatic

Atef Kheder, Kamel Benothman, Mohamed Benrejeb, Didier Maquin. State and unknown input estimation via a proportional integral observer with unknown inputs. 9th International conference on Sciences and Techniques of Automatic control & computer engineering, STA'2008, Dec 2008, Sousse, Tunisia. pp.CDROM. ⟨hal-00340083⟩