基于EKF的永磁同步电机的无传感器控制研究
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引用本文:方略,王春雷,黄浩,高旭,杨亚,范春辉.基于EKF的永磁同步电机的无传感器控制研究[J].计算技术与自动化,2023,(2):11-14
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方略,王春雷,黄浩,高旭,杨亚,范春辉 (中国电子科技集团公司第二十一研究所上海 200233) 
中文摘要:基于位置传感器永磁同步电机控制,一方面提高了设计成本,另一方面降低了系统可靠性。对扩展卡尔曼滤波(extended Kalman filter,EKF)原理进行分析研究,将 EKF 优化算法应用到永磁同步电机控制中,对永磁同步电机转子转速、转子位置进行预测估计。最后,基于MATLAB仿真平台,构建扩展卡尔曼滤波( EKF)仿真模型。仿真结果表明,永磁同步电机转子位置、转子转速能够被准确预测估计,表明了基于扩展卡尔曼滤波( EKF)算法仿真模型是有效的,为永磁同步电机控制系统研究提供了坚实理论基础。
中文关键词:永磁同步电动机  无位置传感器控制  矢量控制  建模仿真
 
Research on PMSM Sensorless Control Based on EKF
Abstract:The control of permanent magnet synchronous motor based on position sensor not only increases the design cost, but also reduces the system reliability. The principle of extended Kalman filter(EKF) is analyzed and studied. The EKF optimization algorithm is applied to the control of permanent magnet synchronous motor, and the rotor speed and rotor position of permanent magnet synchronous motor are predicted and estimated. Finally, based on the matlab simulation platform, the EKF simulation model is constructed. The simulation results show that the rotor position and rotor speed of PMSM can be accurately predicted and estimated, and the simulation model based on EKF algorithm is effective, which provides a solid theoretical foundation for the research of PMSM control system.
keywords:permanent magnet synchronous motor  position sensorless control  vector control  modeling and simulation
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