摘要
传统的零速或低速位置估计方法是将高频信号注入到永磁同步电机(PMSMs)的电枢绕组中,但该方法应用于具有低凸极比的混合励磁开关磁链永磁(HESFPM)电机时,位置检测精度较低。因此,该文提出将高频脉冲信号注入励磁绕组的转子位置估计方法。由于HESFPM电机中励磁绕组产生的磁链在d轴上,因此,励磁绕组中注入的高频脉冲信号可以在d轴上感应出高频电流信号。通过检测q轴高频电流信号,即当q轴高频电流信号为零时,判断转子的实际位置。为了验证所提出的位置估计方法,在一台HESFPM实验样机上进行实验验证。结果表明,所提出的HESFPM电机位置估计方法在稳态与动态响应方面均具有较高的精度。
Due to the low saliency ratio in the hybrid excited switched flux permanent magnet(HESFPM)machines,the conventional position estimation methods,which use high-frequency signal injection into the armature windings for the permanent magnet synchronous machines at zero or low speed,may not have appropriate estimated accuracy for the sensorless control of the HESFPM machine.Therefore,in the paper,the method of injecting high-frequency(HF)pulse signals into the field winding is developed.In the HESFPM machines,since the flux-linkage produced by the field excitation is always aligned with the d-axis,the injected HF pulse signal in the field winding can only induce the HF current signal in the actual d-axis.Based on this principle,the estimated rotor position can be obtained once the HF current signal in the estimated q-axis equals zero.To verify the proposed position estimation method,an experiment on a HESFPM prototype was carried out.The results show that the proposed position estimation method for the HESFPM machines exhibits high accuracy in both steady-state and dynamic response.
作者
刘旭
牛大强
曹阳
周齐
Liu Xu;Niu Daqiang;Cao Yang;Zhou Qi(State Key Laboratory of Reliability and Intelligence of Electrical EquipmentSchool of Electrical Engineering Hebei University of Technology,Tianjin 300130 China;Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei ProvinceSchool of Electrical Engineering Hebei University of Technology,Tianjin 300130 China)
出处
《电工技术学报》
EI
CSCD
北大核心
2021年第20期4297-4307,共11页
Transactions of China Electrotechnical Society
基金
国家自然科学基金(51507045)
河北省“杰出青年”基金(E2018202252)
河北省人社厅(E2016100004)资助项目。
关键词
混合励磁开关磁链永磁电机
位置估计
无传感器控制
高频信号注入
Hybrid excited switched flux permanent magnet machine
position estimation
sensorless control
high frequency signal injection