Observation des systèmes non linéaires : Application à la détection de défauts

Abstract : Among the faults diagnosis methods, the method of residual filters allows to synthesize filters generating signals ( called residues) that are used for fault detection. In our approach, the residual filters are obtained from reduced observers. The objective of this thesis is to synthesize observers and highlight their application to fault detection for nonlinear systems. This thesis is divided into two parts. In the first part, two papers were presented. The rst one relates to the unknown input observers for state ane systems modulo an output injection. The proposed approach is a combination of geometric decoupling techniques and nonlinear observers. We have given sufficient conditions with an algorithm for designing an unknown input observer to estimate a part of the state without the knowledge of some inputs. The second contribution consists to characterize the class of nonlinear systems which can be transformed into cascade systems for which an observer can be designed. First, necessary and sufficient theoretical conditions were given, then an algorithm to compute these transformations (diffeomorphisms) was proposed. Finally, the set of all dieomorphisms was characterized by showing that it is an orbit of an action of a particular group on the set of all dieomorphisms. The second step of the thesis deals with the synthesis of a polytopic Linear Parameter-Varying (LPV) filter to detect, isolate and estimate multiple sensor faults. The advantage of this lter is to generate two types of residuals : one being sensitive to faults and the other is insensitive. The insensitive residual is used to generate an additional qualitative information of the filter efficiency. The stability of the latter has been performed using Linear Matrix Inequality (LMI)
Document type :
Theses
Liste complète des métadonnées

https://tel.archives-ouvertes.fr/tel-01816966
Contributor : Abes Star <>
Submitted on : Friday, June 15, 2018 - 10:17:26 PM
Last modification on : Friday, February 1, 2019 - 5:14:02 PM
Document(s) archivé(s) le : Monday, September 17, 2018 - 11:44:16 AM

File

TH2014SahnounMariem.pdf
Version validated by the jury (STAR)

Identifiers

  • HAL Id : tel-01816966, version 1

Collections

Citation

Mariem Sahnoun. Observation des systèmes non linéaires : Application à la détection de défauts. Automatique. Université Claude Bernard - Lyon I, 2014. Français. ⟨NNT : 2014LYO10322⟩. ⟨tel-01816966⟩

Share

Metrics

Record views

64

Files downloads

37