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Multi-objective optimization of a magnetically levitated planar motor with multi-layer windings

Guo, Liang; Zhang, He; Galea, Michael; Li, Jing; Gerada, C.

Authors

Liang Guo

He Zhang He.ZHANG@nottingham.edu.cn

Michael Galea michael.galea@nottingham.ac.uk

Jing Li

C. Gerada chris.gerada@nottingham.ac.uk



Abstract

In this paper, a novel magnetically levitated coreless planar motor with three-layer orthogonal overlapping windings is shown to have higher power density and higher space utilization compared to other coreless planar motors. In order to achieve maximum forces with minimum cost and minimum space, a multi-objective optimization of the novel planar motor is carried out. In order to reduce the computational resources required for finite element analyses, a fast but accurate analytical tool is developed, based on expressions of the flux density of the permanent magnet array, which are derived from the scalar magnetic potential method. The validity and accuracy is verified by 3D FE results. Based on the force formulas and the multi-objective function derived from the analytical models, a particle swarm optimization (PSO) algorithm is applied to optimize the dimensions of the planar motor. The design and optimization of the planar motor is validated with experimental results, measured on a built prototype, thus proving the validity of the analytical tools.

Journal Article Type Article
Publication Date May 10, 2016
Journal IEEE Transactions on Industrial Electronics
Print ISSN 0278-0046
Electronic ISSN 0278-0046
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 63
Issue 6
APA6 Citation Guo, L., Zhang, H., Galea, M., Li, J., & Gerada, C. (2016). Multi-objective optimization of a magnetically levitated planar motor with multi-layer windings. IEEE Transactions on Industrial Electronics, 63(6), doi:10.1109/TIE.2016.2522389
DOI https://doi.org/10.1109/TIE.2016.2522389
Keywords Analytical modeling, planar motor, overlapping windings, multi-objective optimization
Publisher URL http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7393799
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
Additional Information 2016 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

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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