Multi-objective optimization of a magnetically levitated planar motor with multi-layer windings
Guo, Liang and Zhang, He and Galea, Michael and Li, Jing and Gerada, C. (2016) Multi-objective optimization of a magnetically levitated planar motor with multi-layer windings. IEEE Transactions on Industrial Electronics, 63 (6). pp. 3522-3532. ISSN 0278-0046
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.
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