A robust globally convergent position observer for the permanent magnet synchronous motor

Alexey Bobtsov 1 Anton Pyrkin 1 Roméo Ortega 2 S. Vukosavik A. Stankovic Elena Panteley 2
1 Saint Petersburg State University of Information Technologies Mechanics and Optics
2 Division Systèmes - L2S
L2S - Laboratoire des signaux et systèmes : 1289
Abstract : Position observers are essential components in the design of sensorless controllers for electric motors. Their design is complicated by the fact that the motor dynamics is highly nonlinear and contains some uncertain parameters. In this paper a new robust, nonlinear, globally convergent position observer for surface-mount permanent magnet synchronous motors is proposed. A key feature of the proposed observer is that it requires only knowledge of the stator resistance and inductance with the mechanical parameters and the magnetic flux constant being unknown. Thanks to a new reparameterization of the motor dynamics only two parameters are estimated with a regressor consisting of filtered voltage and current, which is persistently exciting in normal motor operation. Realistic simulations and experiments show that the proposed observer outperforms other existing designs from the point of view of robustness and convergence rate.
Type de document :
Article dans une revue
Automatica, Elsevier, 2015, 61, pp.47-54. 〈10.1016/j.automatica.2015.07.032 〉
Liste complète des métadonnées
https://hal-centralesupelec.archives-ouvertes.fr/hal-01261957
Contributeur : Myriam Baverel <>
Soumis le : mardi 26 janvier 2016 - 09:02:03
Dernière modification le : jeudi 27 septembre 2018 - 14:30:03

Identifiants

Collections

L2S | SUP_LSS | CENTRALESUPELEC | SUP_SYSTEMES | TDS-MACS | UNIV-PARIS-SACLAY

Citation

Alexey Bobtsov, Anton Pyrkin, Roméo Ortega, S. Vukosavik, A. Stankovic, et al.. A robust globally convergent position observer for the permanent magnet synchronous motor. Automatica, Elsevier, 2015, 61, pp.47-54. 〈10.1016/j.automatica.2015.07.032 〉. 〈hal-01261957〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

221

Contact

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