Non-Minimum Phase Switched Systems: HOSM-Based Fault Detection and Fault Identification via Volterra Integral - Inria - Institut national de recherche en sciences et technologies du numérique
Article Dans Une Revue International Journal of Adaptive Control and Signal Processing Année : 2013

Non-Minimum Phase Switched Systems: HOSM-Based Fault Detection and Fault Identification via Volterra Integral

Résumé

In this paper, the problem of continuous and discrete state estimation for a class of linear switched systems with additive faults is studied. The class of systems under study can contain non-minimum phase zeroes in some of their 'operating modes'. The conditions for exact reconstruction of the discrete state are given using structural properties of the switched system. The state space is decomposed into the strongly observable part, the non-strongly observable part, and the unobservable part, to analyze the effect of the unknown inputs. State observers based on high-order sliding mode to exactly estimate the strongly observable part and Luenberger-like observers to estimate the remaining parts are proposed. For the case when the exact estimation of the state cannot be achieved, the ultimate bounds on the estimation errors are provided. The proposed strategy includes a high-order sliding-mode-based fault detection and a fault identification scheme via the solution of a Volterra integral equation. The feasibility of the proposed method is illustrated by simulations.

Domaines

Automatique
Fichier principal
Vignette du fichier
IJACSP_R1.pdf (1.1 Mo) Télécharger le fichier
Origine Accord explicite pour ce dépôt
Loading...

Dates et versions

hal-00986405 , version 1 (05-05-2014)

Identifiants

Citer

Hector Rios, Denis Efimov, Jorge Davila, Tarek Raissi, Leonid Fridman, et al.. Non-Minimum Phase Switched Systems: HOSM-Based Fault Detection and Fault Identification via Volterra Integral. International Journal of Adaptive Control and Signal Processing, 2013, ⟨10.1002/acs.2448⟩. ⟨hal-00986405⟩
260 Consultations
295 Téléchargements

Altmetric

Partager

More