Title :

Robust unknown input observer design for state estimation and fault detection using linear parameter varying model

Author(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]

Journal title :

Journal of Physics: Conference Series
13th European Workshop on Advanced Control and Diagnosis (ACD) Nov 2016 Lille

Pages :

012001-1-9

Publisher :

IOP Science

Publication date :

2017

ISSN :

1742-6596

HAL domain(s) :

Sciences de l'ingénieur [physics]/Automatique / Robotique

English abstract : [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 ...
Show more >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.Show less >

Language :

Anglais

Popular science :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL