Advances in P.E.M. Fuel Cell stack observer design using Takagi-Sugeno approach with unmeasurable premise variables

Severus Constantin Olteanu 1 Abdel Aitouche 2 Lotfi Belkoura 3, 1
1 SyNeR - Systèmes Non Linéaires et à Retards
CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
2 STF - Systèmes Tolérants aux Fautes
CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
3 NON-A - Non-Asymptotic estimation for online systems
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Abstract : This article presents the development of a nonlinear state observer based on a Takagi–Sugeno approach that is applied to a PEMFCS (Proton Exchange Membrane Fuel Cell Stack) model. The Fuel Cell model which takes into consideration the auxiliary elements associated to the stack, has been validated through the use of the professional software AMESim by a co-simulation with Matlab-Simulink. The paper’s objective is to construct a TS fuzzy observer such that it can estimate the states of the considered nonlinear systems despite the unmeasurable premise variables. The observer construction method implies the use of Input to State Stability which eliminates the necessity of the Lipschitz constant, aiming at a bounded estimation error convergence. The conditions for obtaining the observer gains are expressed in the end as Linear Matrix Inequalities.
Type de document :
Chapitre d'ouvrage
Renewable Energy: Generation and Applications, Springer, pp.117-130, 2014, 978-3-319-05707-1. 〈10.1007/978-3-319-05708-8_10〉
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https://hal.inria.fr/hal-01248971
Contributeur : Lotfi Belkoura <>
Soumis le : mardi 29 décembre 2015 - 16:08:42
Dernière modification le : jeudi 11 janvier 2018 - 06:27:42

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Severus Constantin Olteanu, Abdel Aitouche, Lotfi Belkoura. Advances in P.E.M. Fuel Cell stack observer design using Takagi-Sugeno approach with unmeasurable premise variables. Renewable Energy: Generation and Applications, Springer, pp.117-130, 2014, 978-3-319-05707-1. 〈10.1007/978-3-319-05708-8_10〉. 〈hal-01248971〉

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