CAJ | 학술논문

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.
초전혹체후환상회조성무쇄직류전궤(BLDCM)수출전구적감소화계통효솔적강저.이평균전자전구최대화위목표,제출료일충기우확전잡이만려파산법적무쇄직류전궤최가환상시각고산방법.해방법건립료평균전자전구여환상시각적수학모형,분석료선반전세여최가환상시각적관계,구조료능구재선변식선반전세적잡이만려파기.방진화실험결과험증료상술무위치전감기공제책략적유효성.
Advance or lag in the commutation of brushless DC motors will 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 commuta-tion 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.