Multiobjective Optimization of a Magnetically Levitated Planar Motor with Multilayer Windings

Liang Guo, He Zhang, Michael Galea, Jing Li, Chris Gerada

Research output: Journal PublicationArticlepeer-review

30 Citations (Scopus)

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 with other coreless planar motors. In order to achieve maximum forces with minimum cost and minimum space, a multiobjective optimization of the novel planar motor is carried out. In order to reduce the computational resources required for finite-element (FE) 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 3-D FE results. Based on the force formulas and the multiobjective 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.

Original languageEnglish
Article number7393799
Pages (from-to)3522-3532
Number of pages11
JournalIEEE Transactions on Industrial Electronics
Volume63
Issue number6
DOIs
Publication statusPublished - Jun 2016
Externally publishedYes

Keywords

  • Analytical modeling
  • multiobjective optimization
  • overlapping windings
  • planar motor

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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