Control Method of Sensorless Brushless DC Motor Based on Neural Network
Control Method of Sensorless Brushless DC motor Based Neural Network is proposed by analysis of indirect position detection of DC Brushless motors principles.Dynamical BP neural network model is built to identify the relation of phase voltage,phase current and rotor position of Brushless DC Motor.Network parameters gradient descent is employed to rectify error method in order to update the network parameters in stead of traditional position sensor,which the commutation signal of DC motor is achieved by terminal voltage and phase current mapping.The effectiveness of the control method is verified by simulations.
Brushless DC Motor Sensorless position detection BP Neural Network Nonlinear system identification
Zhang Jinquan Gu deying
Department of Automation Engineering,Northeastern University at Qinhuangdao,Qinhuangdao 066004,China
国际会议
长沙
英文
4566-4568
2014-05-31（万方平台首次上网日期，不代表论文的发表时间）