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

Mariem Sahnoun 1
1 SNLEP
LAGEP - Laboratoire d'automatique et de génie des procédés
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).
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Submitted on : Wednesday, July 22, 2015 - 6:33:59 PM
Last modification on : Saturday, May 18, 2019 - 1:39:44 AM
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Mariem Sahnoun. Observation des systèmes non linéaires : Application à la détection de défauts. Automatique / Robotique. Université Claude Beranrd Lyon 1, 2014. Français. ⟨tel-01179547⟩

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