摘要
无刷直流电机是一种时变性的、非线性的以及强耦合性的系统。对于控制精度要求高的场合,传统的PID控制难以满足对无刷直流电机控制的性能要求。模糊PID控制器虽然具有一定的自适应性,但是模糊规则主要靠经验制定具有一定局限性。为解决上述问题,研究了基于双闭环的开关模糊神经PID控制的无刷直流电机,该方法综合了模糊、神经网络和PID的优点,具有适应能力强,控制精度高,专家知识利用较好等。仿真结果表明模糊神经PID控制相对于模糊PID具有转速响应快、超调量小、抗干扰能力强等优点。
The brushless DC motor is a time-varying,nonlinear and strong coupling system.For the control accuracy of the high demand situation,it is still difficult for traditional PID control to meet the performance requirements of brushless DC motor.Although fuzzy PID controller has some adaptability,fuzzy rules are established mainly by experience that has certain limitations.This paper studied the brushless DC motor control based on Two Closed Loop of the Fuzzy network PID control.This method integrates the advantages of fuzzy network and PID control,and has strong adaptable capacity,high control accuracy and better expert knowledge.The simulation results show that compared with the fuzzy-PID control,the fuzzy network PID control has the advantages of fast speed response,small overshoot,and strong anti-interference ability.
出处
《计算机仿真》
CSCD
北大核心
2013年第9期344-348,共5页
Computer Simulation
关键词
无刷直流电机
模糊神经网络
仿真
双闭环
Brushless DC motor
Fuzzy network
Simulation
Double closed loop
