Design considerations for the tooth shoe shape for high-speed permanent magnet generators

Zhang, He; Zhang, Xiaochen; Gerada, C.; Galea, Michael; Gerada, David; Li, Jing

Abstract

This paper presents a study of the effects that the shoe shape of the teeth of electrical machines has on the performance and losses. This is done by considering a concentrated wound, high-speed permanent magnet generator. The paper investigates the influence of the tooth shoe shape on the machine magnetic circuit and the losses distribution based on analytical and finite-element analysis (FEA). A shape coefficient Kt is proposed to provide an optimized design reference. A comprehensive analytical tool able to study the variations of the machine performance parameters is proposed. The deduced optimization function is normalized using the non-equilibrium relative weighting method, and then, it is processed via a genetic algorithm to achieve the optimized design. FEA is used to validate the proposed analytical tool and the optimum design.

Citation

Zhang, H., Zhang, X., Gerada, C., Galea, M., Gerada, D., & Li, J. (2015). Design considerations for the tooth shoe shape for high-speed permanent magnet generators. IEEE Transactions on Magnetics, 51(11), Article 8112904. https://doi.org/10.1109/TMAG.2015.2448096

• Journal Article Type: Article
• Acceptance Date: Jun 15, 2015
• Publication Date: Jun 22, 2015
• Deposit Date: Jun 8, 2016
• Publicly Available Date: Jul 6, 2016
• Journal: IEEE Transactions on Magnetics
• Print ISSN: 0018-9464
• Electronic ISSN: 1941-0069
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 51
• Issue: 11
• Article Number: 8112904
• DOI: https://doi.org/10.1109/TMAG.2015.2448096
• Keywords: finite element analysis, genetic algorithms, permanent magnet generators, electrical machines, high-speed permanent magnet generators, losses distribution, machine magnetic circuit, machine performance parameters, non-equilibrium relative weighting metho
• Public URL: https://nottingham-repository.worktribe.com/output/754054
• Publisher URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7130627
• Additional Information: c2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
• Contract Date: Jun 8, 2016