无刷直流电机的自适应分数阶PID控制优化仿真研究  

Optimization Simulation of Adaptive Fractional Order PID Controller for Brushless DC Motor

作　　者：骆舒萍[1] LUO Shuping(Experimental Training and Information Technology Center,Liming University,Quanzhou Fujian 362000,China)

机构地区：[1]黎明职业大学实验实训与信息技术中心,福建泉州362000

出　　处：《重庆科技学院学报（自然科学版）》2023年第3期58-61,80,共5页Journal of Chongqing University of Science and Technology：Natural Sciences Edition

基　　金：福建省“十四五”规划2021年度课题资助项目“基于应用虚拟化的融合显示技术在分组互动教学中的研究与运用”(FJJKGZ21-008)。

摘　　要：为了提高无刷直流电机角速度信号跟踪精度,分析无刷直流电机数学模型,推导出电机运动方程式,引入人工蜂群算法对分数阶PID控制系统进行优化。在不同工况下,采用Matlab软件对电机角速度跟踪误差进行仿真实验,比较优化前后的电机角速度跟踪误差。结果显示,在外界负载干扰下,现有分数阶PID控制系统的自适应调节能力较弱,电机角速度跟踪误差较大;此次优化设计的分数阶PID控制系统的自适应调节能力较强,电机角速度跟踪误差较小。此外,此次优化设计的分数阶PID控制系统能够抑制外界负载的干扰,提高无刷直流电机角速度信号跟踪精度。In order to improve the tracking accuracy of the angular velocity signal of a brushless DC motor,the mathematical model of the motor is analyzed,the motor motion equation is derived,and an artificial bee colony algorithm optimized fractional order PID control system is designed.The Matlab software is used to simulate the motor angular velocity signal tracking errors under different working conditions,and the tracking errors of motor angular velocity before and after optimization are compared.The results show that under external load interferences,the adaptive adjustment ability of the existing fractional order PID control system is weak,and the tracking error of the motor angular velocity is large;the optimized fractional order PID control system has strong adaptive adjustment ability,and the tracking error of motor angular velocity is small.In addition,the optimized fractional order PID control system can suppress external load interference,thereby improving the tracking accuracy of the angular velocity signal of the brushless DC motor.

关 键 词：无刷直流电机 分数阶PID控制系统 人工蜂群算法 角速度 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]