基于ISSA-Fuzzy-PID算法的无刷直流电机调速控制系统  

Simulation of Brushless Direct Current Motor Control System Based on ISSA-Fuzzy-PID

作　　者：陈敏[1] 王金 梁晨 CHEN Min;WANG Jin;LIANG Chen(Shool of physics and electronic information engineering,Hubei Engineering University,Xiaogan,Hubei 432000,China;College of Electrical Engineering&New Energy,China Three Gorges University,Yichang,Hubei 443000,China;SIASUN Robot&Automation Co.,Ltd.,Shenyang,Liaoning 110000,China)

机构地区：[1]湖北工程学院物理与电子信息学院,湖北孝感432000 [2]三峡大学电气与新能源学院,湖北宜昌443000 [3]沈阳新松机器人自动化有限公司,辽宁沈阳110000

出　　处：《计算技术与自动化》2023年第1期15-21,共7页Computing Technology and Automation

摘　　要：为了使无刷直流电机(BLDCM)从复杂多变的非线性关系中找出最佳PID参数,提出了一种基于改进麻雀算法(ISSA)优化模糊(fuzzy)控制的调速系统。根据BLDCM工作原理及控制方法在MATLAB平台上搭建仿真模型并加入反向学习策略初始化麻雀种群,形成非线性时变控制系统,并将该优化系统与传统PID以及模糊PID(fuzzy-PID)控制系统进行对比分析。仿真结果表明,基于ISSA-Fuzzy-PID的调速控制系统有较快的动态响应,有效增强了BLDCM转速控制的精度和鲁棒性。In order to make BLDCM find the best proportional integral differential(PID)parameters from the complex and changeable nonlinear relationship,this paper proposes a combining algorithm that adds ISSA controller to optimize the fuzzy controller.According to the working principle and control method of BLDCM,a simulation model will be built on the MATLAB platform,and added reverse learning strategy to initialize sparrow population to form a nonlinear time-varying control system.Then,the traditional PID control system,the fuzzy-PID control system and the ISSA-Fuzzy-PID control system were compared and analyzed.The results show that the speed control system based on ISSA-Fuzzy-PID has fast dynamic response,which effectively enhances the accuracy and robustness of BLDCM speed control.

关 键 词：无刷直流电机 麻雀算法 模糊PID控制 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]