Actuator fault detection for vehicle lateral ...
Document type :
Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès avec actes
Title :
Actuator fault detection for vehicle lateral dynamics
Author(s) :
Alaridh, Ibrahim [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Aitouche, Abdel [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Zemouche, Ali [Auteur]
Centre de Recherche en Automatique de Nancy [CRAN]
Boulkroune, Boulaïd [Auteur]
Flanders Make [Lommel]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Aitouche, Abdel [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Zemouche, Ali [Auteur]
Centre de Recherche en Automatique de Nancy [CRAN]
Boulkroune, Boulaïd [Auteur]
Flanders Make [Lommel]
Conference title :
5th International Conference on Control, Decision and Information Technologies, CoDIT 2018
City :
Thessaloniki
Country :
Grèce
Start date of the conference :
2018-04-10
HAL domain(s) :
Sciences de l'ingénieur [physics]/Automatique / Robotique
English abstract : [en]
This paper proposes an actuator fault detection based on unknown input observer for simultaneously state estimation and fault estimation applied to lateral vehicle dynamics. The lateral dynamics is modeled by a linear ...
Show more >This paper proposes an actuator fault detection based on unknown input observer for simultaneously state estimation and fault estimation applied to lateral vehicle dynamics. The lateral dynamics is modeled by a linear parameter varying model where the longitudinal velocity is considered as parameter varying. The observers gains are based on the resolution of linear matrix inequalities. The observers convergence is analyzed by using the Lyapunov theory. The proposed fault detection system is finally applied to the detection and estimation of steering angle fault and the estimation of the yaw velocity, yaw angle and the trajectory of the vehicle. Simulation study verifies the effectiveness of the proposed approach.Show less >
Show more >This paper proposes an actuator fault detection based on unknown input observer for simultaneously state estimation and fault estimation applied to lateral vehicle dynamics. The lateral dynamics is modeled by a linear parameter varying model where the longitudinal velocity is considered as parameter varying. The observers gains are based on the resolution of linear matrix inequalities. The observers convergence is analyzed by using the Lyapunov theory. The proposed fault detection system is finally applied to the detection and estimation of steering angle fault and the estimation of the yaw velocity, yaw angle and the trajectory of the vehicle. Simulation study verifies the effectiveness of the proposed approach.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
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