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Contribution to estimation of state and ...
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Document type :
Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès avec actes
DOI :
10.1109/ICoSC.2016.7507073
Title :
Contribution to estimation of state and sensor fault applied to PEM Fuel Cell systems
Author(s) :
Olteanu, Severus Constantin [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Aïtouche, Abdel [Auteur]
Belkoura, Lotfi [Auteur] refId
Systèmes Non Linéaires et à Retards [SyNeR]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Conference title :
Systems and Control (ICSC), 2016 5th International Conference on
Conference organizers(s) :
Université Caddi Ayad, Marrakech
City :
Marrakech
Country :
Maroc
Start date of the conference :
2016-05-25
English keyword(s) :
Observers
Fuel cells
Fault detection
Hydrogen
Linear systems
Takagi-Sugeno model
HAL domain(s) :
Sciences de l'ingénieur [physics]/Automatique / Robotique
English abstract : [en]
This paper aims firstly at contributing to the problematic of nonlinear Takagi-Sugeno (TS) approach for state and fault estimation with unmeasurable premise variables. The second objective is the application of this method ...
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This paper aims firstly at contributing to the problematic of nonlinear Takagi-Sugeno (TS) approach for state and fault estimation with unmeasurable premise variables. The second objective is the application of this method on Fuel Cell Systems (FCSs). In order to achieve the estimated value of the fault, an observer based method is essential. The development and optimization of Fuel Cell parameter estimation in parallel with fault estimation is not treated in an exhaustive manner in literature. The estimation is based on a PI observer where the estimation error is bounded, having an additional corrective sliding terms. This eliminates the inconvenient generated by the Lipschitz constant.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Source :
Harvested from HAL
Université de Lille

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