基于EKF的PMSM无传感器控制仿真分析

Simulation Analysis of Sensorless Control for PMSM Based on EKF

为了提高永磁同步电机的性能,对其在静止坐标系下建立了数学模型并进行了扩展卡尔曼滤波(Extended Kalman filter,EKF)的推导,得到了基于EKF算法的永磁同步电机无传感器控制系统模型,再通过搭建Simulink模型对控制系统进行了仿真研究,主要对系统在空载条件下的转速、转子位置以及定子电流的跟踪能力进行了仿真,最终得到了各项估计值与实际值的仿真波形曲线,各项误差曲线与理论分析基本一致。结果表明基于EKF算法的无传感器矢量控制技术和控制系统能够稳定运行,电机控制系统动、静态性能良好,可以满足PMSM实际控制性能的需要。

In order to improve the performance of permanent magnet synchronous motor(PMSM),with the establishment of the mathematical model of PMSM in the static coordinate system and the deduction of the extended Kalman filter,the system model for the sensorless control of permanent magnet synchronous motor was obtained based on EKF;then a simulation study of this control system was conducted through constructing the Simulink model,mainly on the system's speed,rotor position andthe ability to trackstator currentthe system under the condition of no-load;finally the simulation waveform curve of various estimates and actual values were obtained,whose error curves are basically consistent with the theoretical analysis.The results show that the sensorless vector control technology and control system based on EKF algorithm can operate stably,and the motor control system has good dynamic and static performance,which can meet the needs of PMSM actual control performance.