A topology optimization of rotor design in switched reluctance (SR) motors based on immune algorithm and ON/OFF method to obtain practical shapes is presented in this paper. The topology optimization using evolutionary algorithms such as genetic algorithm often obtains complex shapes that are impossible to produce in engineering sense. To solve this difficulty, a filtering process is introduced in the present algorithm based on the immune algorithm. The current waveform in SR motors strongly depend on the inductance that varies by the shape of rotor. This results in high computational cost of numerical analysis to obtain the torque property. In this study, a simple estimation method to calculate the current waveform is introduced. This method enable to reduce the computational cost and perform the topology optimization in a practical time. The present method is applied to a topology optimization of SR motor. Optimization results show that feasible shapes are obtained and torque property is improved.

中文翻译：

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基于免疫算法的开关磁阻电动机转子设计拓扑优化。

提出了一种基于免疫算法和ON / OFF方法的开关磁阻电动机转子设计拓扑优化方法，以求得实用的形状。使用进化算法（例如遗传算法）的拓扑优化通常会获得复杂的形状，而这些形状在工程意义上是不可能产生的。为了解决这个困难，在本算法中引入了基于免疫算法的过滤过程。SR电机中的电流波形在很大程度上取决于随转子形状而变化的电感。这导致获得转矩特性的数值分析的计算成本很高。在这项研究中，介绍了一种简单的估算方法来计算电流波形。该方法能够减少计算成本并在实际时间内执行拓扑优化。本方法应用于SR电动机的拓扑优化。优化结果表明，获得了可行的形状并改善了扭矩性能。