The recently introduced flux switching permanent magnet motor attracts a lot of attention thanks to a robust design, better heat dissipation, high reliability, high performance. The crucial step in developing the PM motor for different applications is the geometry optimization. In this paper, the modified multi-level multi-objective optimization method which combined Taguchi and response surface methodology is introduced. The design of experiment is used for multi-objective sensitivity analysis to separate the design parameters to two groups of less important and more-important design parameters. In the first level of optimization, the less-important design parameters are set at the modified value obtained by Taguchi method. In the second level of optimization, using RSM and non-dominated sorting genetic algorithm-II (NSGA-II), the more-important design parameters optimized. The accuracy of the FEM samples is validated by the prototype of the motor. In addition due to the importance of price in the low-price industrial applications, the used PMs in pump motors do not have much quality in terms of thermal tolerance and the intensity of the tolerable external demagnetization field. Therefore, the study of demagnetization in the low-price industrial application is very important and should be properly investigated. So in this paper, a method to accurate calculation of the demagnetization rate will be introduced.

中文翻译：

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考虑不可逆退磁的小型水泵应用FSPM电机优化设计

最近推出的磁通开关永磁电机因其坚固的设计、更好的散热、高可靠性和高性能而吸引了很多关注。为不同应用开发永磁电机的关键步骤是几何优化。本文介绍了结合田口和响应面方法的改进的多级多目标优化方法。实验设计用于多目标敏感性分析，将设计参数分为两组较不重要和较重要的设计参数。在第一级优化中，不太重要的设计参数设置为通过田口方法获得的修改值。在第二级优化中，使用RSM和非支配排序遗传算法-II（NSGA-II），优化了更重要的设计参数。FEM 样本的准确性由电机原型验证。此外，由于价格在低价工业应用中的重要性，泵电机中使用的永磁电机在耐热性和可容忍的外部退磁场强度方面质量并不高。因此，研究低价工业应用中的退磁非常重要，应予以适当研究。因此，本文将介绍一种精确计算退磁率的方法。泵电机中使用的永磁体在耐热性和可容忍的外部退磁场强度方面质量不高。因此，研究低价工业应用中的退磁非常重要，应予以适当研究。因此本文将介绍一种精确计算退磁率的方法。泵电机中使用的永磁体在耐热性和可容忍的外部退磁场强度方面质量不高。因此，研究低价工业应用中的退磁非常重要，应予以适当研究。因此，本文将介绍一种精确计算退磁率的方法。