Abstract：The non-sinusoidal phase current and high saturated magnetic field in switched reluctance machine (SRM) make its design very difficult, and traditional design methods are complex, require professional knowledge are difficult to obtain optimal scheme. In this paper, the original scheme is obtained by traditional method, and the influencing modes of geometric dimensions on performances are revealed by sensitivity analysis. Then, genetic algorithm is improved according to convergence rate and global accuracy. On this basis, the original scheme is optimized to obtain higher efficiency and smaller torque ripple, and the global optimum values of key dimensions and control parameters are obtained. The study in this paper has certain reference value for design and optimization of SRM.
宋受俊, 葛乐飞, 刘虎成, 刘卫国. 开关磁阻电机设计及多目标优化方法[J]. 电工技术学报, 2014, 29(5): 197-204.
Song Shoujun, Ge Lefei, Liu Hucheng, Liu Weiguo. Design and Multi-Objective Optimization Method of Switched Reluctance Machines. Transactions of China Electrotechnical Society, 2014, 29(5): 197-204.
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