Robust unknown input observer design for ...
Type de document :
Compte-rendu et recension critique d'ouvrage
Titre :
Robust unknown input observer design for state estimation and fault detection using linear parameter varying model
Auteur(s) :
Li, S.Z. [Auteur]
Nanjing University of Science and Technology [NJUST]
Wang, Haoping [Auteur]
Nanjing University of Science and Technology [NJUST]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Aitouche, A. [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Tian, Y. [Auteur]
Nanjing University of Science and Technology [NJUST]
Christov, N. [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Nanjing University of Science and Technology [NJUST]
Wang, Haoping [Auteur]
Nanjing University of Science and Technology [NJUST]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Aitouche, A. [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Tian, Y. [Auteur]
Nanjing University of Science and Technology [NJUST]
Christov, N. [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Titre de la revue :
Journal of Physics: Conference Series
13th European Workshop on Advanced Control and Diagnosis (ACD) Nov 2016 Lille
13th European Workshop on Advanced Control and Diagnosis (ACD) Nov 2016 Lille
Pagination :
012001-1-9
Éditeur :
IOP Science
Date de publication :
2017
ISSN :
1742-6596
Discipline(s) HAL :
Sciences de l'ingénieur [physics]/Automatique / Robotique
Résumé en anglais : [en]
This paper proposes a robust unknown input observer for state estimation and fault detection using linear parameter varying model. Since the disturbance and actuator fault is mixed together in the physical system, it is ...
Lire la suite >This paper proposes a robust unknown input observer for state estimation and fault detection using linear parameter varying model. Since the disturbance and actuator fault is mixed together in the physical system, it is difficult to isolate the fault from the disturbance. Using the state transforation, the estimation of the original state becomes to associate with the transform state. By solving the linear matrix inequalities (LMIs) and linear matrix equalities (LMEs), the parameters of the UIO can be obtained. The convergence of the UIO is also analysed by the Layapunov theory. Finally, a wind turbine system with disturbance and actuator fault is tested for the proposed method. From the simulations, it demonstrates the effectiveness and performances of the proposed method.Lire moins >
Lire la suite >This paper proposes a robust unknown input observer for state estimation and fault detection using linear parameter varying model. Since the disturbance and actuator fault is mixed together in the physical system, it is difficult to isolate the fault from the disturbance. Using the state transforation, the estimation of the original state becomes to associate with the transform state. By solving the linear matrix inequalities (LMIs) and linear matrix equalities (LMEs), the parameters of the UIO can be obtained. The convergence of the UIO is also analysed by the Layapunov theory. Finally, a wind turbine system with disturbance and actuator fault is tested for the proposed method. From the simulations, it demonstrates the effectiveness and performances of the proposed method.Lire moins >
Langue :
Anglais
Vulgarisation :
Non
Collections :
Source :
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- https://doi.org/10.1088/1742-6596/783/1/012001
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- https://doi.org/10.1088/1742-6596/783/1/012001
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- https://doi.org/10.1088/1742-6596/783/1/012001
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- https://doi.org/10.1088/1742-6596/783/1/012001
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