Mechanical Sensor FTC Using Sub-Optimal Sliding Mode Observer for Electrical Vehicle Induction Motor Drive

Aziz Raisemeche 1 Ahmed Chaibet 1 Moussa Boukhnifer 1 Demba Diallo 2
1 ESTACA
2 GeePs - Laboratoire Génie électrique et électronique de Paris
Abstract : In this paper, we propose an experimental study for hybrid voting algorithm based on observer and robust control design for two mechanical sensor faults. The proposed strategy is applied for the induction motor speed drive of electrical vehicle powertrain. To adopt the best performance method for electrical vehicle application, we illustrate the effectiveness of a voting algorithm approach with the New European Driving Cycle speed profile. The experimental results demonstrate the effectiveness of the proposed architecture.
Keywords : Fault Tolerant Control Induction Motor Electric Vehicle Sliding Mode Voting Algorithm
Type de document :
Communication dans un congrès
2016 13th International Multi-Conference on Systems, Signals & Devices (SSD), Mar 2016, Leipzig, Germany. 2016, Systems, Signals & Devices (SSD), 2016 13th International Multi-Conference on. 〈http://ieeexplore.ieee.org/document/7473762/〉. 〈10.1109/SSD.2016.7473762〉
Liste complète des métadonnées
https://hal-centralesupelec.archives-ouvertes.fr/hal-01301218
Contributeur : Demba Diallo <>
Soumis le : lundi 11 avril 2016 - 17:46:36
Dernière modification le : jeudi 22 novembre 2018 - 14:24:37

Identifiants

Collections

UPMC | GEEPS | CENTRALESUPELEC | ECO2 | UNIV-PARIS-SACLAY | UNAM | SORBONNE-UNIVERSITE

Citation

Aziz Raisemeche, Ahmed Chaibet, Moussa Boukhnifer, Demba Diallo. Mechanical Sensor FTC Using Sub-Optimal Sliding Mode Observer for Electrical Vehicle Induction Motor Drive. 2016 13th International Multi-Conference on Systems, Signals & Devices (SSD), Mar 2016, Leipzig, Germany. 2016, Systems, Signals & Devices (SSD), 2016 13th International Multi-Conference on. 〈http://ieeexplore.ieee.org/document/7473762/〉. 〈10.1109/SSD.2016.7473762〉. 〈hal-01301218〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

208

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD