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基于ISSA-Fuzzy-PID算法的无刷直流电机调速控制系统
引用本文:陈敏,王金,梁晨.基于ISSA-Fuzzy-PID算法的无刷直流电机调速控制系统[J].计算技术与自动化,2023(1):15-21.
作者姓名:陈敏  王金  梁晨
作者单位:(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)
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。

关 键 词:无刷直流电机  麻雀算法  模糊PID控制

Simulation of Brushless Direct Current Motor Control System Based on ISSA-Fuzzy-PID
Affiliation:(1.Shool of physics and electronic information engineering,Hubei Engineering University,Xiaogan, Hubei 432000,China;2.College of Electrical Engineering&New Energy, China Three Gorges University,Yichang, Hubei 443000,China; 3.SIASUN Robot&Automation Co.,Ltd.,Shenyang,Liaoning 110000,China )
Abstract: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.
Keywords:brushless direct current motor  sparrow search algorithm(SSA)  fuzzy PID control
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