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》2010年第2期53-55,共3页Industrial Instrumentation & Automation

摘　　要：粒子群算法是一种基于群智能的全局寻优方法,方法简单,易于实现,寻优效果好。PID控制因其算法简单、鲁棒性好、可靠性高而被广泛应用于工业控制过程。该文提出了一种改进的PSO算法以提高其优化性能,通过典型测试函数的实验证明了该改进的PSO算法具有较好的优化性能。最后,将改进后的PSO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。Particle swarm optimization algorithm is a global optimization technique.The algorithm is simple for implement and excellent for application.PID control is used widely in many kinds of industry circumstance for its simple algorithm,high reliability and good robustness.This thesis proposed one kind improved PSO algorithm,based on the analysis of the basic PSO algorithm,succeeding to raise its convergence rate and the optimization precision.Furthermore,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]