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新型开关磁阻电机优化设计
引用本文:周云红,胡泮,蒋嘉豪,黄心怡,孙玉坤.新型开关磁阻电机优化设计[J].微电机,2021,0(12):43-50+76.
作者姓名:周云红  胡泮  蒋嘉豪  黄心怡  孙玉坤
作者单位:(南京工程学院 电力工程学院,南京211167)
摘    要:为降低开关磁阻电机转矩脉动以及提高转矩出力,提出一种在定转子齿上依次开槽的优化设计方案,对所开槽进行参数化处理,使用控制变量法分析各个开槽参数对性能指标的影响,以性能指标最优为目标选取参数,并利用有限元方法分析了电流转矩特性验证效果。由于该方案无法对多个开槽参数协同优化,因此进一步提出方案二,即借助多学科优化工具optiSLang,使用多目标粒子群算法对开槽参数进行全局优化,得到Pareto最优解集后再使用TOPSIS法客观地从中选取出全局最优解。优化后,与未开槽时相比,转矩脉动下降了32.347%,平均转矩上升了12.594%,效果令人满意。

关 键 词:开关磁阻电机  转矩脉动  控制变量法  多目标粒子群  TOPSIS法

Optimization Design of a New Switched Reluctance Motor
ZHOU Yunhong,HU Pan,JIANG Jiahao,HUANG Xinyi,SUN Yukun.Optimization Design of a New Switched Reluctance Motor[J].Micromotors,2021,0(12):43-50+76.
Authors:ZHOU Yunhong  HU Pan  JIANG Jiahao  HUANG Xinyi  SUN Yukun
Affiliation:(School of Electric Power EngineeringNanjing Institute of TechnologyNanjing 211167China)
Abstract:In order to reduce the torque ripple and improve the torque output of the switched reluctance motor, an optimized design scheme of sequential slotting on the stator and rotor teeth was proposed. The slots were parameterized, and the control variable method was used to analyze the influence of each slot parameter on the performance index. The parameters were selected with the optimal performance index as the goal. Then, the current and torque characteristics were analyzed by finite element method to verify the effect of slotting. Because the scheme can not collaboratively optimize multiple slotting parameters, the second scheme was further proposed. With the help of multidisciplinary optimization tool optiSLang, the multi-objective particle swarm optimization algorithm was used to optimize the slotting parameters. The TOPSIS method was used to objectively select the global optimal solution from the Pareto optimal solution set obtained by the algorithm. After optimization, compared with the switched reluctance motor without slots, the torque ripple coefficient is decreased by 32.347%, and the average torque is increased by 12.594 %. The optimization effect is satisfactory.
Keywords:switched reluctance motor  torque ripple  control variable method  multi-objective particle swarm  TOPSIS method
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