无轴承永磁薄片电机的无位置传感运行

摘要

为了克服有传感器成本高、精度低、不易安装等不足，提出了采用扩展卡尔曼滤波器( EKF)实现电机无位置传感运行的控制策略。在介绍无轴承永磁薄片电机( BPMSM)悬浮原理的基础上，得到电机状态方程，并建立了EKF位置估计离散算法。设计了BPMSM无位置传感控制系统，在MATLAB/Simulink环境下构建系统仿真模型，并对转子位置辨识精度、电机的动态特性进行了仿真研究。仿真结果表明： EKF的转子位置辨识精度较高，能够实现电机无位置传感器的稳定悬浮运行。%In order to overcome the sensor’s disadvantages of high cost, low precision and hard establishment, the extended kalman filter ( EKF) was adopted to realize the position-sensorless operation of the BPMSM. After an introduction of suspension principle of the BPMSM, the motor’s state-equation was deduced and the discrete algorithm of rotor position identification based on the EKF was obtained. The corresponding control system was designed in MATLAB/Simulink, and the precision of rotor position identification and dynamic performance of motor were studied. The results showed that the EKF has high precision of rotor position identification and was able to achieve the stable position-sensorless operation of the BPMSM.