Multi-Objective Optimization of a Double-Stator Hybrid-Excited Flux-Switching Permanent-Magnet Machine

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Original languageEnglish
Pages (from-to)312-323
Journal / PublicationIEEE Transactions on Energy Conversion
Issue number1
Online published2 Aug 2019
Publication statusPublished - Mar 2020


This paper proposes the multi-objective optimization of a double-stator hybrid-excited flux-switching permanent-magnet (DSHE-FSPM) machine, which aims at the contradictory objective achievement. Firstly, the proposed machine topology is presented. Also, the general analytical geometric model is built, which matches the typical DS-FSPM machines. Secondly, the archive-based multi-objective genetic algorithm (AMOGA) optimization is carried out. The contradictory multi-objectives contain the maximum efficiency, minimum PM cost, and minimum torque ripple. Also, the minimum inner and outer radial force difference is included, which can effectively lower the vibration and manufacturing difficulty. Additionally, before the optimization process, the sensitivity analysis is employed to alleviate the calculation burden. Thirdly, the hybrid flux-modulating machine performances and the prototype experimental results are presented, which can verify the feasibility of the proposed optimization strategy and the optimal machine design.

Research Area(s)

  • Double-stator machine, hybrid-excited machine, flux-switching machine, permanent magnet machine, multi-objective optimization, flux-modulating