摘要
弱磁控制和转矩精确控制是永磁同步电机(PMSM)控制系统的两个难点。通过利用反向传播(BP)神经网络结构,提出一种PMSM转矩控制方法。该方法在恒转矩区和弱磁区均能够实现转矩的精确控制,同时避免了弱磁比例积分(PI)参数对控制性能的影响。通过对一台100kW的永磁电机进行实验,证明了该方法的有效性。
Field-weakening control and high-precision torque control are two key points of permanent magnet synchronous motor(PMSM)control system.By using back propagation(BP)neural network structure,a new method for torque control of PMSM is presented.This method can realize the precise control of the torque in the constant torque region and the field-weakening region,and avoid the influence of the field-weakening proportional integral(PI)parameters on the control performance.An experimental verification of a 100 kW permanent magnet motor is carried out to demonstrate the effectiveness of the proposed method.
作者
邱腾飞
殷振环
刘伟志
黄少东
QIU Teng-fei;YIN Zhen-huan;LIU Wei-zhi;HUANG Shao-dong(Locomotive and Car Research Institute of China Academy of Railway Sciences Corporation Limited,Beijing100081,China;不详)
出处
《电力电子技术》
CSCD
北大核心
2022年第12期95-98,共4页
Power Electronics
基金
中国铁道科学研究院集团有限公司院基金课题(2151ZHN501)。
关键词
永磁同步电机
弱磁控制
神经网络
转矩控制
permanent magnet synchronous motor
field-weakening control
neural network
torque control