A Polytopic Proportional Integral Observer Design for Fault Diagnosis

B Rabaoui (1) , H Hamdi (1) , Mickael Rodrigues (2) , N Benhadj Braiek (3)

1 LSA - Laboratoire des Systèmes Avancés
2 LAGEP - Laboratoire d'automatique et de génie des procédés
3 INSAT - Institut National des Sciences Appliquées et de Technologie [Tunis]

This paper deals with the problem of actuators faults detection and estimation for linear parameters variant (LPV) systems described by the polytopic representation. A Polytopic Proportional Integral Observer (PPIO) is designed to detect faults by generation of residuals signals and estimate system states and the applied faults. The (PPIO) gains are obtained by solving a set of linear matrices inequalities (LMIs). Performances of the proposed method are shown through a Van de Vusse reactor.

Mots clés: LPV system; Polytopic Proportional Integral; Observer; Fault Detection and estimation; residual generation; LMIs

Domaines: Automatique / Robotique; Automatique

B Rabaoui, H Hamdi, Mickael Rodrigues, N Benhadj Braiek. A Polytopic Proportional Integral Observer Design for Fault Diagnosis. INTERNATIONAL CONFERENCE ON ADVANCED SYSTEMS AND ELECTRICAL TECHNOLOGIES, Jan 2017, Hammamet, Tunisia. pp.14 - 17. ⟨hal-01413062⟩