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

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

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.

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), 3522-3532. https://doi.org/10.1109/TIE.2016.2522389

• Journal Article Type: Article
• Acceptance Date: Dec 20, 2015
• Online Publication Date: Jan 27, 2016
• Publication Date: May 10, 2016
• Deposit Date: Jun 29, 2016
• Publicly Available Date: Jun 29, 2016
• Journal: IEEE Transactions on Industrial Electronics
• Print ISSN: 0278-0046
• Electronic ISSN: 1557-9948
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 63
• Issue: 6
• Pages: 3522-3532
• DOI: https://doi.org/10.1109/TIE.2016.2522389
• Keywords: Analytical modeling, planar motor, overlapping windings, multi-objective optimization
• Public URL: https://nottingham-repository.worktribe.com/output/790534
• Publisher URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7393799
• 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
• Contract Date: Jun 29, 2016