基于改进粒子群算法的PID参数整定  

Tuning of PID parameters based on improved particle swarm optimization algorithm

作　　者：张索峰[1] 李平[1] 

机构地区：[1]辽宁石油化工大学信息与控制工程学院,辽宁抚顺113001

出　　处：《工业仪表与自动化装置》2012年第2期14-16,共3页Industrial Instrumentation & Automation

摘　　要：提出一种改进的粒子群算法,算法中对粒子的进化方程进行了改进,以此来增加种群间信息的共享。通过典型函数的测试,验证了改进粒子群算法具有较好的优化性能。将改进后的算法应用到PID参数整定中,通过MATLAB仿真证明了该方法的可行性和优越性。A modified particle swarm optimization algorithm is proposed,in which evolution equation of particle is improved for enhancing information among swarms.This method proposed one kind improved PSO algorithm,based on the analysis of the basic functions.The provided method was proved feasible by its application to the PID controller parameter installation and was of better superiority through the MATLAB simulation.

关 键 词：PID控制 PSO算法 参数 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]