Sensor fault detection and isolation filter for polytopic LPV systems: a winding machine application

Mickael Rodrigues (1) , Mariem Sahnoun (1) , Didier Theilliol (2) , Jean-Christophe Ponsart (2)

1 LAGEP - Laboratoire d'automatique et de génie des procédés
2 CRAN - Centre de Recherche en Automatique de Nancy

In this paper, a fault diagnosis method is developed for a particular class of nonlinear systems described by a polytopic Linear Parameter Varying (LPV) formulation. The main contribution consists in the synthesis of an accurate Fault Detection and Isolation (FDI) filter and also a sensor fault magnitude estimation with a quality factor. This quality factor of the filter underlines if the fault estimation can be used or not. Stability conditions of the polytopic LPV filter are studied by ensuring poly-quadratic stability with Linear Matrix Inequality (LMI) representation. The effectiveness of this global FDI scheme through LPV modelization, filter design and stability analysis, is illustrated on a real winding machine under multiple sensor faults.

Mots clés: Polytopic LPV system; observer; fault diagnosis; sensor; model-based; LMI; winding machine

Domaines: Automatique / Robotique

Mickael Rodrigues, Mariem Sahnoun, Didier Theilliol, Jean-Christophe Ponsart. Sensor fault detection and isolation filter for polytopic LPV systems: a winding machine application. Journal of Process Control, 2013, 23 (6), pp.805-816. ⟨10.1016/j.jprocont.2013.04.002⟩. ⟨hal-00823560⟩