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 up, 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 reduce 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.

中文翻译：

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双定子混合励磁磁通开关永磁电机的多目标优化

本文提出了双定子混合励磁磁通切换永磁（DSHE-FSPM）电机的多目标优化，旨在实现矛盾的目标。首先，提出了所提出的机器拓扑。此外，还建立了与典型的 DS-FSPM 机器相匹配的通用解析几何模型。其次，进行了基于档案的多目标遗传算法（AMOGA）优化。相互矛盾的多目标包含最大效率、最小 PM 成本和最小转矩脉动。并包含最小的内外径向力差，可有效降低振动和制造难度。此外，在优化过程之前，采用敏感性分析来减轻计算负担。第三，