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Topology design method of flux barrier in IPM motor by means of genetic algorithm implemented by multistep procedure

机译:基于多步遗传算法的IPM电机磁通势垒拓扑设计方法

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摘要

This study derives a high performance flux barrier for an interior permanent magnet (IPM) motor using binary-based topology optimization (TO). TO has a higher degree of optimization than size or shape optimization. An IPM motor has many design parameters including the current phase angle, core shape of rotor and stator, and magnet position and shape. The flux barrier in an IPM motor plays a particularly important role, influencing several characteristics. We apply TO, using a multistep genetic algorithm, to the rotor core in order to determine a flux barrier with the highest torque performance.
机译:这项研究使用基于二进制的拓扑优化(TO)得出了用于内部永磁(IPM)电机的高性能磁通屏障。与尺寸或形状优化相比,TO的优化程度更高。 IPM电机具有许多设计参数,包括电流相位角,转子和定子的铁心形状以及磁体的位置和形状。 IPM电机中的磁通屏障起着特别重要的作用,影响多个特性。我们使用多步遗传算法将TO应用于转子铁心,以确定具有最高扭矩性能的磁通屏障。

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