基于扩展卡尔曼滤波的无感FOC永磁同步电机控制系统
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南京理工大学

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河南省科技攻关项目(182102310004);中国铁路上海局科研项目(202201)


Control system of sensorless FOC permanent magnet synchronous motor based on extended Kalman filter
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    摘要:

    针对PMSM无感FOC控制中传统转子状态估算方法在噪声抑制和低速性能上的不足,提出融合EKF的高精度控制方案并设计集成上位机通信的驱动器电路系统;首先构建PMSM在dq坐标系下的数学模型,通过EKF对反电动势、转子位置及速度进行最优估计,解决传统方法的估算误差问题;其次在硬件上采用STM32F446RET6主控、三相桥式逆变电路及高精度采样模块,结合UART实现驱动器与上位机实时数据交互;然后通过Simulink仿真验证了EKF在稳态精度、动态响应及低速特性的优势,实物调试表明驱动器实现0.1倍额定转速稳定运行,抗高频噪声能力得到了提升,上位机可实时监控并在线配置参数;最后实验显示,该方案较传统方法转子位置估算均方根误差降低了25%,转矩脉动抑制提升27%,为高性能PMSM控制提供了工程化解决方案。

    Abstract:

    Aiming at the shortcomings of the traditional rotor state estimation method in the sensorless FOC control of PMSM in noise suppression and low speed performance, a high-precision control scheme based on EKF is proposed and a driver circuit system integrated with host computer communication is designed; Firstly, the mathematical model of PMSM in dq coordinate system is constructed, and the back EMF, rotor position and speed are optimally estimated by EKF to solve the estimation error problem of traditional methods; Secondly, the STM32F446RET6 master control, three-phase bridge inverter circuit and high-precision sampling module are used in the hardware to realize the real-time data interaction between the driver and the upper computer combined with UART; Then, the advantages of EKF in steady-state accuracy, dynamic response and low-speed characteristics are verified by Simulink simulation. The physical debugging shows that the driver can achieve stable operation at 0.1 times the rated speed, and the ability to resist high-frequency noise is improved. The upper computer can monitor and configure parameters online in real time; Finally, the experiment shows that the root mean square error of rotor position estimation is reduced by 25% and the torque ripple suppression is improved by 27% compared with the traditional method, which provides an engineering solution for high-performance PMSM control.

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  • 收稿日期:2025-06-05
  • 最后修改日期:2025-07-07
  • 录用日期:2025-07-08
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