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

Abstract : 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.
Type de document :
Article dans une revue
Journal of Process Control, Elsevier, 2013, 23 (6), pp.805-816. 〈10.1016/j.jprocont.2013.04.002〉
Liste complète des métadonnées

Littérature citée [34 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-00823560
Contributeur : Mickael Rodrigues <>
Soumis le : vendredi 17 mai 2013 - 12:26:31
Dernière modification le : vendredi 23 novembre 2018 - 17:38:04
Document(s) archivé(s) le : dimanche 18 août 2013 - 04:14:40

Fichier

FDI_Wind_MR_DDT_2013.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Citation

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, Elsevier, 2013, 23 (6), pp.805-816. 〈10.1016/j.jprocont.2013.04.002〉. 〈hal-00823560〉

Partager

Métriques

Consultations de la notice

233

Téléchargements de fichiers

467