基于单神经元PID的永磁同步电机解耦控制  

Decoupling Control of PMSM Based on Single Neuron PID

作　　者：李晓宁[1] 刘洋[1] 叶小龙[1] 赵现枫[1] 

机构地区：[1]电子科技大学,机械电子工程学院,四川成都611731

出　　处：《电力电子技术》2013年第9期58-59,共2页Power Electronics

基　　金：国家自然科学基金(60971037)~~

摘　　要：永磁同步电机(PMSM)数学模型可简化为一个两输入两输出的非线性系统。神经网络具有逼近任意复杂非线性系统的能力,将经典比例-积分-微分(PID)控制与单神经元结合,可构造出单神经元PID,实现对PMSM的解耦控制。仿真和实验结果表明该系统模型响应速度快,稳定性强,动、静态性能良好,鲁棒性很好。The mathematical model of permanent magnet synchronous motor （PMSM） can be simplified as a nonlinear system with two inputs and outputs.Neural network can be similar to any nonlinear system.The classical proportional-integral-differential（PID） and the single neuron can be combined to construct the single neuron PID, realizing the decoupling control of PMSM.The simulation and experimental results show that the whole control system response quickly and stably, owning good dynamic and static performance, as well as good robustness.

关 键 词：永磁同步电机 单神经元 比例-积分-微分 

分 类 号：TM351[电气工程—电机]