电机与控制应用2023，Vol.50Issue(12)：108-117,10.DOI:10.12177/emca.2023.147
宽转子无轴承开关磁阻电机的转子极形优化
Optimization of Rotor Pole Shape for Bearingless Switched Reluctance Motor with Wide Rotor
摘要
Abstract
In order to solve the problem of wide rotor bearingless switched reluctance motors are prone to large torque ripple during operation due to the switching power supply method and double salient iron core structure,the rotor structure of a bearingless switched reluctance motor with wide rotor is improved by slotting on both sides of the rotor.By increasing the air gap magnetic resistance near the slots,the tangential air gap magnetic density used to generate torque can be increased,so that the torque ripple can be reduced.After the slots are parameterized,the control variates method is used to analyze the impact of slotting parameters on torque performance,and the slotting parameters are finally determined with the goal of optimizing performance indicators.By using the method of field circuit coupling,the finite element analysis model of the motor and the direct instantaneous torque control circuit model are combined to achieve the dynamic operation of the motor system.The simulation results show that slotting on the rotor can effectively reduce the torque ripple of the bearingless switched reluctance motor with wide rotor,and improve the average torque,while has little impact on radial suspension force.关键词
无轴承开关磁阻电机/宽转子/转矩脉动抑制/转子极形优化Key words
bearingless switched reluctance motor/wide rotor/torque ripple suppression/optimization分类
信息技术与安全科学引用本文复制引用
周云红,李汉杰,孟思洁,刘晨宇,谭正一..宽转子无轴承开关磁阻电机的转子极形优化[J].电机与控制应用,2023,50(12):108-117,10.基金项目
国家自然科学基金项目(51977103) （51977103）
江苏省重点研发计划项目(BE2021094) （BE2021094）
南京工程学院科技创新基金项目(YKJ202208) （YKJ202208）
江苏省大学生科技创新项目(202211276060Y)Projects supported by National Natural Science Foundation(51977103) （202211276060Y）
Key R&D Plan Project in Jiangsu Province(BE2021094) （BE2021094）
Science and Technology Innovation Fund of Nanjing Institute of Technology(YKJ202208) （YKJ202208）
Jiangsu Province College Student Science and Technology Innovation Project(202211276060Y) （202211276060Y）
