电工技术2024,Issue(14) :17-19.DOI:10.19768/j.cnki.dgjs.2024.14.006

基于改进粒子群算法优化PID参数的电气设备自动控制研究

Electrical Equipment Automatic Control with PID Parameters Optimized by Modified Particle Swarm Algorithm

唐伟倚
电工技术2024,Issue(14) :17-19.DOI:10.19768/j.cnki.dgjs.2024.14.006

基于改进粒子群算法优化PID参数的电气设备自动控制研究

Electrical Equipment Automatic Control with PID Parameters Optimized by Modified Particle Swarm Algorithm

唐伟倚1
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作者信息

  • 1. 广西华锐工程设计有限公司,广西 柳州 545002
  • 折叠

摘要

常规的电气设备自动控制方法以逻辑控制为主,并未配置和优化PID参数,无法满足不同电气设备的运行需求,因此设计了基于改进粒子群算法优化PID参数的电气设备自动控制方法.首先基于改进粒子群算法整定电气设备控制PID参数,利用粒子群算法优化PID参数,根据适应度函数的输入情况调节参数,使电气设备的控制性能达到最优.然后设定电气设备自动控制逻辑指令,通过FBD、IL、ST、Ladder、SFC等语言组建电气设备自动控制功能,从而实现电气设备的有效控制.采用对比实验,验证了该方法的自动控制效果更佳,能够应用于实际生活中.

Abstract

Conventional automatic control methods for electrical equipment mainly rely on logic control,without configu-ring and optimizing PID parameters,which cannot meet the operational needs of different electrical equipment.Therefore an automatic control method with PID parameters optimized by modified particle swarm algorithm was designed.First based on the modified particle swarm algorithm,the PID parameters of electrical equipment control were configured and adjusted according to the input of the fitness function to achieve optimal control performance.Then the automatic control logic instructions were set up,and languages such as FBD,IL,ST,Ladder,SFC,etc.were used to establish automatic control functions,thereby achieving effective control of electrical equipment.The proposed method was verified by com-parative experiments to have satisfactory automatic control effect practical applicative potential.

关键词

改进粒子群算法/PID参数/电气设备/自动控制

Key words

improving particle swarm optimization algorithm/PID parameters/electrical equipment/automatic control

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出版年

2024
电工技术
重庆西南信息有限公司(原科技部西南信息中心)

电工技术

影响因子:0.177
ISSN:1002-1388
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