Individual and global optimization of switched flux permanent magnet motors
Individual and global optimization of switched flux permanent magnet motors
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DOI：
10.1109/icems.2011.6073806
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发表时间：
2011-11
期刊：
影响因子：
--
通讯作者：
Z. Zhu;X. Liu
中科院分区：
文献类型：
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作者：
Z. Zhu;X. Liu
在开关磁通永磁电机的设计中，采用遗传算法对多个几何参数进行全局优化是可行的。为了研究SFPM电机设计中广泛采用的全局优化方法相对于个体优化方法的优势，在固定铜损和体积的条件下，对两种方法进行了比较。尽管顺序在单个参数优化中很重要，但是在所产生的扭矩中可以实现很小的差异。根据所获得的全局优化结果，对具有12/10和12/14两种定子和转子磁极组合的电机的性能进行了比较，并且在12/14 SFPM电机中表现出更高的转矩。最后，本文还证明了全局优化的限制相同的磁极宽度，磁铁厚度和槽开口可以最大化的转矩密度，而不会显着牺牲其他性能，如齿槽转矩和过载能力。
With the aid of genetic algorithm (GA), global optimization with multiple geometry parameters are feasible in the design of switched flux permanent magnet (SFPM) machine. To investigate the advantages of global optimization over individual one, which has been used extensively for the design of SFPM machines, the comparisons between two approaches are carried out at the fixed copper loss and volume. Little difference may be achieved in the produced torque although the sequence is important in the individual parameter optimization. According to the obtained global optimization the performance in machines having two types of stator and rotor pole combinations, i.e. 12/10 and 12/14, are compared, and higher torque is exhibited in 12/14 SFPM machine. Finally, this paper also demonstrates that global optimization with the restriction of same pole width, magnet thickness and slot opening can maximize the torque density without significantly sacrificing other performance, such as cogging torque and overload capability.