Sensor fault diagnosis for a class of LPV descriptor systems

Astorga-Zaragoza Carlos-M. (1) , Didier Theilliol (2) , Jean-Christophe Ponsart (2) , Mickael Rodrigues (3)

1 CENIDET - Centro Nacional de Investigación y Desarrollo Tecnológico [Mexico]
2 CRAN - Centre de Recherche en Automatique de Nancy
3 LAGEP - Laboratoire d'automatique et de génie des procédés

In this paper, a sensor model-based fault diagnosis method for a particular class of linear parameter variant (LPV) systems is developed. The main contribution of this work is to propose an adequate observer that performs fault detection over the whole operating range of the system. The conditions for the existence of an observer are given. Such conditions guarantees the observer convergence and they are proved through a Lyapunov analysis based on Linear Matrix Inequality (LMI) formulation. A generalized observer scheme is performed in order to achieve the fault isolation. The observer is evaluated through numerical simulations.

Mots clés: Sensor fault diagnosis; linear time variant system; generalized observer scheme; descriptor system

Domaines: Automatique / Robotique

Astorga-Zaragoza Carlos-M., Didier Theilliol, Jean-Christophe Ponsart, Mickael Rodrigues. Sensor fault diagnosis for a class of LPV descriptor systems. 7th Workshop on Advanced Control and Diagnosis, Nov 2009, Poland. pp.Proceedings. ⟨hal-00471862⟩