无刷直流电动机单神经元自适应PID控制系统仿真  

Simulation of BLDCM Control System of Single Neuron Self-Adaptive PID

作　　者：康海洋[1] 杨风[1] 常云泽[1] 张成发[1] 王建伟[1] 

机构地区：[1]中北大学信息与通信工程学院,山西太原030051

出　　处：《煤矿机电》2011年第1期8-10,共3页Colliery Mechanical & Electrical Technology

摘　　要：设计单神经元自适应PID控制器,实现在线调整PID参数,克服电机参数非线性和易变的影响,达到快速控制的目的。并在Matlab/Simulink环境下研究控制系统。仿真结果表明:控制器自适应能力好,鲁棒性强,具有比单纯PID控制更好的系统静态和动态特性。The controller of single neuron self-adaptive PID is designed to realize the regulation of PID parameters on-line in order to overcome the influences of non-linearity and parameters changability of the brushless DC motor,and achieve fast control.The simulation of the control system is carried out in Matlab/Simulink environment.The simulation results indicate that the controller has high robustness,self-adaptive ability and better static and dynamic system performances than that of the pure PID controller.

关 键 词：无刷直流电动机 单神经元自适应PID控制器 

分 类 号：TM381[电气工程—电机]