现代电子技术2016，Vol.39Issue(15)：167-170,4.DOI:10.16652/j.issn.1004-373x.2016.15.043
基于神经元自适应PID永磁同步电机的仿真与研究
Study and simulation of permanent magnet synchronous motor based on neuron self-adaptive PID
摘要
Abstract
Since the traditional PID controller has fixed parameters,and is limited to deal with the nonlinear time⁃varying system,the neuron self⁃adaptive PID control algorithm is proposed. On the basis of the speed controller of traditional permanent magnet synchronous motor(PMSM),the neuron adaptive PID control method and Hebb learning algorithm are adopted,and the parameters online adjustment is realized by taking the square of error as performance index to fast trace the motor speed. The SVPWM algorithm under non⁃orthogonal coordinate system is adopted in the inverter to simplify the steps of vector algorithm. The simulation results show that,in combination with the traditional PID control method,the neuron adaptive PID as the control method of PMSM has the control effects of rapid response speed and high precision.关键词
永磁同步电机/神经元自适应PID/逆变器/非正交坐标系Key words
permanent magnet synchronous motor/neuron self-adaptive PID/inverter/non-orthogonal coordinate system分类
信息技术与安全科学引用本文复制引用
韩璐,张开如,樊英杰,王书源,刘白冰..基于神经元自适应PID永磁同步电机的仿真与研究[J].现代电子技术,2016,39(15):167-170,4.基金项目
山东科技大学研究生创新基金 （）
