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基于粒子群优化算法的PID控制器参数整定
引用本文:陈俊风,范新南,苏丽媛.基于粒子群优化算法的PID控制器参数整定[J].计算机仿真,2006,23(8):158-160.
作者姓名:陈俊风  范新南  苏丽媛
作者单位:河海大学计算机及信息工程学院,江苏,常州,213022
摘    要:PID控制器的性能完全依赖于其参数的整定和优化,但参数的整定及在线自适应调整对常规的PID控制器是难以解决的问题。根据粒子群算法具有对整个参数空间进行高效并行搜索的特点,提出了一种基于粒子群优化算法整定PID控制器参数的设计方法,并定义了一种新的性能指标函数来评价PID控制器的性能。现以二阶的船舶控制装置为研究对象,运用粒子群优化方法对PID控制器参数进行了寻优研究。仿真结果表明,该方法比一般PID参数整定方法具有更好的控制性能指标,有着一定的工程应用价值。

关 键 词:粒子群优化算法  控制  参数整定
文章编号:1006-9348(2006)08-0158-03
收稿时间:2005-06-25
修稿时间:2005年6月25日

Self-tuning of PID Parameters Based on Particle Swarm Optimization
CHEN Jun-feng,FAN Xin-nan,SU Li-yuan.Self-tuning of PID Parameters Based on Particle Swarm Optimization[J].Computer Simulation,2006,23(8):158-160.
Authors:CHEN Jun-feng  FAN Xin-nan  SU Li-yuan
Abstract:The performance of PID controller completely depends on the parameter tuning and optimization,which are difficult problems for general PID controller.Based on the characteristic of particle swarm optimization(PSO) algorithm which searches the parameter space concurrently and efficiently,a novel design method for determining the optimal PID controller parameters using the particle swarm optimization(PSO) algorithm is presented in this paper.A new performance criterion function is also defined to estimate the performance of the PID controller.Using the second-order ship control system as studying object,PSO algorithm is used to search optimal parameter of PID controller.The simulation results indicate that the control performance of the PID based on PSO is better than that of the general PID parameters tuning methods and possesses certain engineering value.
Keywords:Particle swarm optimization(PSO)  Control  Parameter tuning
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