LAPSE:2023.17835
Published Article
LAPSE:2023.17835
Design and Analysis of a Permanent Magnet Vernier Machine with Non-Uniform Tooth Distribution
Fei Zhao, Mengzhu Cao, Encheng Tao, Liyi Li
March 6, 2023
Abstract
To improve the torque performance of the permanent magnet vernier machine in the direct-drive system for Unmanned Aerial Vehicle (UAV), this paper proposes the topology of non-uniform tooth distribution. This distribution, considering the additional flux harmonics, aims to contribute to torque improvement, whereas the cogging torque also increases at the same time. A phasors method is proposed to solve the issue caused by the non-uniform structure, adjusting the mechanic angle of each tooth reasonably to restrict the cogging torque. In addition, the non-uniform design is illustrated in detail, which includes the method of grouping the teeth, considering the factors of series pole ratio and winding layout. By using the three-dimensional finite element method, torque is significantly increased without additional torque ripple, which satisfies the desired design target.
Keywords
cogging torque, magnetic flux harmonic, non-uniform tooth distribution, permanent magnet vernier machine
Subject
Suggested Citation
Zhao F, Cao M, Tao E, Li L. Design and Analysis of a Permanent Magnet Vernier Machine with Non-Uniform Tooth Distribution. (2023). LAPSE:2023.17835
Author Affiliations
Zhao F: Power Electronics and Electrical Drives Center, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China [ORCID]
Cao M: Power Electronics and Electrical Drives Center, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China [ORCID]
Tao E: Power Electronics and Electrical Drives Center, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China
Li L: Institute of Electromagnetic and Electronic Technology, Harbin Institute of Technology, Harbin 150001, China
Journal Name
Energies
Volume
14
Issue
22
First Page
7816
Year
2021
Publication Date
2021-11-22
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en14227816, Publication Type: Journal Article
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LAPSE:2023.17835
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https://doi.org/10.3390/en14227816
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