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Contribution à l'estimation d'état et au diagnostic des systèmes représentés par des multimodèles

Abstract : The state estimation of a system, with the help of an observer, is largely used in many practical situations in order to cope with many classic problems arising in control engineering. The observer design needs an exploitable model able to give an accurate description of the dynamic behaviour of the system. However, system modelling and observer design can not easily be accomplished when the dynamic behaviour of the system must be described by non linear models. The multiple model approach can be used to tackle these difficulties.

This thesis deals with black box modelling, state estimation and fault diagnosis of nonlinear systems represented by a decoupled multiple model. This kind of multiple model provides a high degree of generality and flexibility in the modelling stage. Indeed, the decoupled multiple model is composed of submodels which dimensions can be different. Thus, this feature is a significant difference between the decoupled multiple model and the classical used multiple model where all the submodels have the same dimension.

After a brief introduction to the multiple model approach, the parametric identification problem of a decoupled multiple model is explored. Algorithms for robust observers synthesis with respect to perturbations, modelling uncertainties and unknown inputs are afterwards presented. These algorithms are based on three kinds of observers called proportional, proportional-integral and multiple-integral. Lastly, identification, observers synthesis and fault sensitivity signals generation are illustrated via a simulation example of a bioreactor.
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Contributor : Rodolfo Orjuela Connect in order to contact the contributor
Submitted on : Monday, February 9, 2009 - 9:22:38 AM
Last modification on : Friday, October 23, 2020 - 8:38:03 AM
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  • HAL Id : tel-01748695, version 2



Rodolfo Orjuela. Contribution à l'estimation d'état et au diagnostic des systèmes représentés par des multimodèles. Automatique / Robotique. Institut National Polytechnique de Lorraine - INPL, 2008. Français. ⟨NNT : 2008INPL060N⟩. ⟨tel-01748695v2⟩



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