基于EKF的电动车用无刷直流电机无传感器运行

The Operation of Sensorless BLDCM Used in E-Bike Based on EKF

针对电动车用无刷直流电动机使用普通的位置传感器所产生的缺陷,给出了一种利用扩展卡尔曼滤波器估计无刷直流电机转子位置方法,实现了电动车用无刷直流电机的无传感器运行。构建了以CY8C24533芯片为核心的样机平台,对无位置传感器运行方案进行实验研究。实验结果表明,扩展卡尔曼滤波算法可准确检测电机转子位置信号,系统运行良好,适用于电动车用无刷直流电机的控制。

To overcome the defects generated by position sensor in the traditional brushless DC motor for E-bike,a brushless DC motor rotor position estimation method by using the extended Kalman filter was proposed and the operation of the electric vehicle of sensorless brushless DC motor was achieved.The prototype platform with CY8C24533 chip as the core was constructed and the program without position sensor was run.Experimental results show that the extended Kalman filter algorithm can accurately detect the rotor position signal,that the system works well for non-electric vehicle brushless DC motor control.