An approach of faults estimation in Takagi-Sugeno fuzzy systems

Atef Kheder (1) , Kamel Benothman (1) , Didier Maquin (2) , Mohamed Benrejeb (3)

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

In this work, the problem of fault detection and identification in systems described by Takagi-Sugeno fuzzy systems is studied. A proportional integral observer is conceived in order to reconstruct state and faults which can affect the system. In order to estimate actuator and sensor faults, a mathematical transformation is made to conceive an augmented system, in which the initial sensor fault appears as an unknown input. Considering actuator fault as an unknown input, one can use a method of estimation of unknown inputs. The noise effect on the state and fault estimation is also minimized.

Domaines: Automatique / Robotique

Atef Kheder, Kamel Benothman, Didier Maquin, Mohamed Benrejeb. An approach of faults estimation in Takagi-Sugeno fuzzy systems. 8th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA-10, May 2010, Hammamet, Tunisia. pp.CDROM, ⟨10.1109/AICCSA.2010.5586970⟩. ⟨hal-00475406⟩