基于EKF的轮毂电机无传感器矢量控制系统研究  

Research on sensorless vector control system for hub motor based on EKF

作　　者：王新健 WANG Xinjian(Engineering College,Vocational and Technical College of Anshun,Anshun 561000,Guizhou,China)

机构地区：[1]安顺职业技术学院工学院,贵州安顺561000

出　　处：《农业装备与车辆工程》2024年第7期106-108,共3页Agricultural Equipment & Vehicle Engineering

基　　金：安顺职业技术学院一般基金项目“电动汽车制动能量回收技术研究”(A202101)。

摘　　要：为解决车载轮毂电机抗干扰能力弱及系统的响应速度慢等问题,搭建车载轮毂电机无传感器矢量控制模型,设计基于扩展卡尔曼滤波算法(Extended Kalman Filter, EKF)的控制系统,通过MATLAB/Simulink进行仿真验证。仿真结果表明:所搭建的基于EKF算法的车载PMSM无位置传感器矢量控制系统,能最大化改善车载轮毂电机的响应速度、抗干扰能力及运行性能,能满足车载轮毂电机在车辆全局工况范围内的动力学控制要求。To solve the problems of weak anti-interference ability and slow system response speed of vehicle mounted hub motors,a sensorless vector control model for vehicle mounted hub motors,was built a control system based on Extended Kalman Filter(EKF)algorithm was designed,and finally was verified through simulation us MATLAB/Simulink software.The simulation results showed that the vehicle mounted PMSM sensorless vector control system based on the EKF algorithm could maximize the improvement of the response speed,anti-interference ability,and operational performance of the vehicle mounted hub motor,enhance the robustness of the system,meet the dynamic control requirements of the vehicle mounted hub motor within the global operating range of the vehicle,and provide theoretical support for expanding the range of vehicle dynamic control.

关 键 词：车载电机 永磁同步电机 扩展卡尔曼滤波算法 矢量控制 

分 类 号：U469.72[机械工程—车辆工程]