摘要
为改善磁悬浮飞轮电机的悬浮和转矩性能,提出一种新型轴向分相磁悬浮飞轮电机及其优化设计方法,在阐述电机基本结构及工作原理的基础上,结合动态双响应面与萤火虫算法对定子齿形参数作进一步优化。首先通过Box-Behnken设计选取代表性的齿形参数组合以建立样本数据空间,并结合多项式响应面法及支持向量机(SVM)建立电机性能响应模型。然后以电机转矩和悬浮出力为优化目标,采用萤火虫算法获取最优齿形参数。有限元仿真结果表明,优化后电机的平均转矩和悬浮力分别提高了37.5%和110.13%,验证了所提结构及齿形优化方法的有效性。
In order to improve the suspension and torque output performance of bearingless flywheel machine,a novel axial split-phase bearingless flywheel machine and its optimized design method were proposed in this paper.Based on the basic structure and working principle of the machine,the dynamic dual response surface and firefly algorithm were combined to further optimize the parameters of the stator teeth of the machine.First,the representative tooth-profile parameter combinations were selected through the Box-Behnken design to establish the sample data space,and the response models of machine performance were established combined with polynomial response surface method and support vector machine(SVM).Besides,the machine torque and suspension output were set as the optimization targets,and a firefly algorithm was employed to obtain the optimal tooth profile parameters.The finite element simulation results indicate that the average torque and suspension force of the optimized machine are increased by 37.5%and 110.13%,respectively,compared with the initial structure,which verifies the effectiveness of the structure and tooth profile optimization method described.
作者
朱金
朱志莹
朱海浪
ZHU Jin;ZHU Zhiying;ZHU Hailang(School of Electric Power Engineering,Nanjing Institute of Technology,Nanjing 211167,China;School of Electric Power Engineering,Southeast University,Nanjing 211189,China)
出处
《微电机》
2021年第6期6-12,共7页
Micromotors
基金
国家自然科学基金(51977103,51877101)
中国博士后科学基金(2018M632201)
江苏省“六大人才高峰”(GDZB-026)
江苏省研究生科研与实践创新计划项目(SJCX19_0525)
南京工程学院大学生科技创新基金(TZ20190031、TZ20200030)。
关键词
轴向分相
磁悬浮飞轮电机
双响应面法
萤火虫算法
参数优化
axial split-phase
bearingless flywheel machine
dual response surface method
firefly algorithm
parameter optimization