The magnetic gear integrated permanent magnet synchronous generator (MG-PMSG) can reduce the acoustic noise and mechanical loss, which are caused by the mechanical gear box. It also has the merits of increasing efficiency and reducing system volume when it is used for wave energy conversion system.In this paper, an improved bat algorithm (BA) based on velocity weighting factor is proposed. The improved BA is applied for the optimization design of permanent magnet (PM) to reduce the cogging torque of MG-PMSG. The numerical model is constructed by response surface methodology (RSM). The influences of key pole shape parameters on cogging torque were investigated, including the eccentric distance, the pole-arc coefficient and the permanent magnet thickness. A global optimization design is then carried out by using the improved BA, so that the magnet dimensions corresponding to the optimal cogging torque are obtained. Finally, the performances of the MG-PMSG with the optimized permanent magnet are analyzed by finite element method. Results show that cogging torque, steady torque ripple and back electromotive force (EMF) waveform distortion of the optimized MG-PMSG are reduced.

中文翻译：

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基于改进蝙蝠算法的电磁齿轮集成式永磁同步电动机的波能转换优化设计

集成了电磁齿轮的永磁同步发电机（MG-PMSG）可以减少由机械齿轮箱引起的噪声和机械损耗。当用于波浪能转换系统时，还具有提高效率，减小系统体积的优点。本文提出了一种基于速度加权因子的改进蝙蝠算法。改进后的BA用于永磁体（PM）的优化设计，以减小MG-PMSG的齿槽转矩。通过响应面方法（RSM）构建数值模型。研究了关键磁极形状参数对齿槽转矩的影响，包括偏心距，磁极系数和永磁体厚度。然后，使用改进的BA进行全局优化设计，从而获得与最佳齿槽转矩相对应的磁体尺寸。最后，通过有限元方法对带有优化永磁体的MG-PMSG的性能进行了分析。结果表明，优化后的MG-PMSG的齿槽转矩，稳定转矩脉动和反电动势（EMF）波形失真均得到降低。