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Design and Optimization of a Novel Dual-Stator Flux-Switching Permanent Magnet Machine
- Authors
- Wang, Y.; Zhao, W.; Yu, M.; Yang, Y.; Kwon, B.-I.
- Issue Date
- 2020
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- finite element method; flux switching permanent magnet machine; multi-objective genetic algorithm
- Citation
- 2020 IEEE Student Conference on Electric Machines and Systems, SCEMS 2020, pp.89 - 93
- Indexed
- SCOPUS
- Journal Title
- 2020 IEEE Student Conference on Electric Machines and Systems, SCEMS 2020
- Start Page
- 89
- End Page
- 93
- ISSN
- 0000-0000
- Abstract
- In this paper, a 24-slot/25-pol e dual-stator flux switching permanent magnet machine (DSFSPMM) is designed and optimized to improve electromagnetic performance by combining the spoke-type magnet configurations, phase-group concentrated coil windings and an unaligned arrangement of rotor teeth. The design concept and operation principle of the machine are introduced in detail. Due to the complex dualstator structure, the proposed DSFSPMM model is established and analyzed by using the finite element method software. To achieve the optimal structure size of the machine, the multiobjective genetic algorithm (MOGA) is carried out based on the single-parameter scanning. As a result, it shows that the optimized model exhibits high torque density, low torque ripple, and high efficiency. © 2020 IEEE.
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