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作 者:高子晏 董婷[1] GAO Ziyan;DONG Ting(School of Electrical Engineering,Shenyang University of Technology,Shenyang 110870,China)
出 处:《微特电机》2023年第11期30-36,共7页Small & Special Electrical Machines
基 金:国家自然科学基金项目(52177054);沈阳市中青年科技创新人才支持计划项目(RC210213)。
摘 要:为了进一步提高永磁直线同步电机的推力密度和过载能力,将取向硅钢片应用于直线电机的初级铁心。构建了取向硅钢片直线电机的磁网络模型,结合该模型以电磁推力、推力波动和永磁体利用率为优化目标,研究了一种基于灵敏度分析的分层优化方法。针对优化变量采用田口法结合遗传算法进行多目标优化,普通优化变量则采取单参数扫描法进行单目标优化。结果表明,取向硅钢片直线电机的各优化方案,相比初始方案,电磁推力更大的同时推力波动更小,永磁体利用率也得到了提高。To improve the thrust density and overload capacity of permanent magnet linear synchronous motor,oriented silicon steel sheets were applied to the primary core of linear motor.An equivalent magnetic network model of oriented silicon steel linear motor was constructed.Combined with the model,a hierarchical optimization method based on sensitivity analysis was studied,taking thrust,thrust fluctuation and permanent magnet utilization rate as optimization objectives.Taguchi method combined with genetic algorithm was used for multi-objective optimization of significant optimization variables,and single parameter scanning method was used for single objective optimization of common optimization variables.The results show that,compared with the original scheme,the optimization schemes of the oriented silicon steel linear motor have greater thrust and less thrust fluctuation,and the utilization rate of permanent magnet has been improved.
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