无位置传感器无刷直流电机最大转矩控制

Maximum Torque Generation for Sensorless Controlled Brushless DC Motor

超前或滞后换相会造成无刷直流电机(BLDCM)输出转矩的减小和系统效率的降低。以平均电磁转矩最大化为目标,提出了一种基于扩展卡尔曼滤波算法的无刷直流电机最佳换相时刻估算方法。该方法建立了平均电磁转矩与换相时刻的数学模型,分析了线反电势与最佳换相时刻的关系,构造了能够在线辨识线反电势的卡尔曼滤波器。仿真和实验结果验证了上述无位置传感器控制策略的有效性。

Advance or lag in the commutation of brushless DC motors wilt lead to the reducing of torque and efficiency. In order to maximize the average electrical torque, an optimal-commutation-time estimation method based on an extended Kalman filter was introduced. A model including electrical torque and commutation time was established, the relationship between the line back-EMF and the optimal-commutation-time was analyzed and an extended Kalman filter was employed to estimate the line back-EMF of the BLDC motor. The performance and reliability of the proposed sensorless drive is verified by simulation and experiment.