Investigation of Short Permanent Magnet and Stator Flux Bridge Effects on Cogging Torque Mitigation in FSPM Machines

Abstract

Flux-switching permanent magnet (FSPM) machines are gaining in popularity due to their robustness, wide speed range, high torque, and high power density. However, their strong cogging torque can lead to vibration and noise due to the double-saliency structure. This paper investigates the effects of the short permanent magnet (PM) and stator flux bridge (FB) on the cogging torque reduction of three-phase 12/10-pole FSPM machines. Four different FSPM machines, including an inner-inner topology, an inner-outer topology, an outer-inner topology, and an outer-outer topology, are developed and analyzed with both short PM and stator FB. The configurations are obtained by placing the FB at inner/outer stator lamination and reducing the PM towards inner/outer directions. The cogging torque, average output torque, and PM utilization ratio of different topologies are extensively studied and compared by the finite element method (FEM). Finally, prototype machines are manufactured and tested. The experimental results have validated the numerical models and the effectiveness of the developed machine in reducing the cogging torque. The results also suggest that the outer-inner topology is more effective to reduce the cogging torque, which not only reduces the utilization of the PM materials, but also mitigates the cogging torque at only slight cost of torque performance.

Publication DOI: https://doi.org/10.1109/TEC.2017.2777468
Divisions: College of Engineering & Physical Sciences
Additional Information: © Copyright 2017 IEEE - All rights reserved
Uncontrolled Keywords: —Short permanent magnet (PM),stator flux bridge (FB),flux-switching permanent magnetic (FSPM) machine,cogging torque,finite element method (FEM)
Publication ISSN: 1558-0059
Last Modified: 11 Nov 2024 08:21
Date Deposited: 29 Nov 2017 10:45
PURE Output Type: Article
Published Date: 2018-06
Published Online Date: 2017-11-24
Accepted Date: 2017-11-24
Authors: Gan, Chun
Wu, Jianhua
Shen, Mengjie
Kong, Wubin
Hu, Yihua
Cao, Wenping (ORCID Profile 0000-0002-8133-3020)

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