Torque Ripple Minimization Control of Permanent Magnet Synchronous Motor using Adaptive Ant Colony Optimization - Université d'Artois Accéder directement au contenu
Communication Dans Un Congrès Année : 2022

Torque Ripple Minimization Control of Permanent Magnet Synchronous Motor using Adaptive Ant Colony Optimization

Résumé

The presence of a fault in motor drives might cause the system to completely shutdown, reduce its performance, or cause disruptions in its operation. Therefore, having fault-tolerant capabilities to sustain continuous operation has become a crucial issue. In this paper, the control strategy aims to minimize torque ripples and consequently vibrations under stator winding unbalance fault applied to a permanent magnet synchronous motor. The control law is based on the space phasor in order to calculate the currents reference using a vector technique, allowing the fault to be corrected. Furthermore, the ACO algorithm is employed for self-tuning of controller parameters. By combining these techniques, we may improve the overall efficiency and stability of the system.
Fichier principal
Vignette du fichier
CODIT22 .pdf (606.24 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04296875 , version 1 (21-11-2023)

Identifiants

Citer

Ahmed Belkhadir, Driss Belkhayat, Youssef Zidani, Remus Pusca, Raphaël Romary. Torque Ripple Minimization Control of Permanent Magnet Synchronous Motor using Adaptive Ant Colony Optimization. 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT), May 2022, Istanbul, Turkey. pp.629-635, ⟨10.1109/CoDIT55151.2022.9804127⟩. ⟨hal-04296875⟩

Collections

UNIV-ARTOIS LSEE
16 Consultations
5 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More