Control of a Segmented Three-Phase Synchronous Motor with Highly Coupled Sub-Windings - Archive ouverte HAL
Article Dans Une Revue IEEE Transactions on Industrial Electronics Année : 2022

Control of a Segmented Three-Phase Synchronous Motor with Highly Coupled Sub-Windings

Résumé

This article addresses the control issue of a structure enabling the segmentation of three-phase electric drives. The proposed segmentation process offers an additional degree of freedom in terms of voltage rating for power electronics but results in a three-phase system with highly coupled sub-windings. Thus, for such a segmented motor, the true challenge lies in controlling the machine global electromagnetic torque while balancing the power among the different inverters. To tackle this issue, the dq standard synchronous frame is extended to common and differential modes. This approach enables to design a suitable control structure based on an analytical model and physical considerations. The developed model is calibrated with realistic numerical values obtained from a finite element analysis. Finally, an experimental setup allows developing a proof of concept which shows the interest of the proposed control method compared to a standard multiple dq-frame method. The key finding is that the above-mentioned control objective of the segmented synchronous motor can be achieved without additional inductors and despite the severe constraint imposed by such highly coupled segmentation.
Fichier principal
Vignette du fichier
TIE_Final_Submission_HAL_correction.pdf (5.38 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03701367 , version 1 (22-06-2022)
hal-03701367 , version 2 (20-10-2022)

Identifiants

Citer

Antoine Cizeron, Javier Ojeda, Eric Monmasson, Olivier Béthoux. Control of a Segmented Three-Phase Synchronous Motor with Highly Coupled Sub-Windings. IEEE Transactions on Industrial Electronics, 2022, ⟨10.1109/TIE.2022.3183342⟩. ⟨hal-03701367v2⟩
226 Consultations
233 Téléchargements

Altmetric

Partager

More