基于微粒群优化算法的直流电机控制系统研究  

Research on DC motor control system based on particle swarm optimization algorithm

作　　者：刘海波[1] 杨战旗 艾永乐[1] LIU Haibo;YANG Zhanqi;AI Yongle(School of Electric Engineering and Automation,Henan Polytechnic University,Jiaozuo 454003,China;Henan College of Industry&Information Technology,Jiaozuo 454003,China)

机构地区：[1]河南理工大学电气工程与自动化学院,河南焦作454003 [2]河南工业和信息化职业学院,河南焦作454003

出　　处：《现代电子技术》2018年第8期121-124,128,共5页Modern Electronics Technique

基　　金：河南省科技攻关重点项目(152102210228)~~

摘　　要：针对现有直流电动机控制系统的特点和存在的问题,介绍以STM32单片机为控制核心的直流电机数字调速控制系统。该系统利用PWM信号驱动控制直流电机,将模糊控制与微粒群算法相结合,优化模糊控制器的参数,实现直流电机的驱动和闭环调速控制。实验结果表明,该控制系统结构简单、调速性能好,并具有较强的抗干扰能力,在工程应用中有较高的推广价值。In allusion to the characteristics and problems of the current DC motor control system,a DC motor digital speed regulation control system taking STM32 single chip microcomputer as the control core is introduced.In the system,PWM signals are used to drive and control the DC motor,fuzzy control is combined with the particle swarm optimization algorithm to optimize the parameters of fuzzy controller and realize the drive of DC motor and closed-loop speed regulation control.The experimental results show that the control system has a simple structure,good speed regulation performance,and strong anti-interference ca-pability,which has a high promotional value in engineering application.

关 键 词：直流电机 STM32 模糊控制 微粒群优化算法 PWM信号 闭环调速 

分 类 号：TN964-34[电子电信—信号与信息处理] TP273[电子电信—信息与通信工程]