基于BP神经网络无刷直流电机换相转矩脉动抑制方法的研究

Research on the Commutation Torque Ripple Suppression Method of Brushless DC Motor Based on BP Neural Network

将首先建立无刷直流电机数学模型,其次研究无刷直流电机换相转矩脉动产生的原因,最后设计BP神经网络参数自学习PID控制器,利用BP神经网络参数自学习PID控制器抑制无刷直流电机的换相转脉动,使其抑制效果达到最佳。

This paper establishes the mathematical model of brushless DC motor, then analyzes the causes of commutation torque tipple of brushless DC motor, finally designs the parameter self-learning PID controller based on BP neural network. The PID controller is used to suppress the commutation torque ripple of brushless DC motor, reaching the best effect.