基于浮点数编码遗传算法的PI参数优化算法  

PI Parameter Optimization Method Based on the Floating-Point Coded Genetic Algorithm

作　　者：何同祥[1] 韩宁青[1] 李洪亮[2] 常保春[1] 

机构地区：[1]华北电力大学控制理论与控制工程学院,河北保定071003 [2]河北东光化工有限公司,河北沧州061600

出　　处：《自动化技术与应用》2011年第2期6-8,20,共4页Techniques of Automation and Applications

摘　　要：本文介绍了基于浮点数编码遗传算法寻优的PID参数优化方法,采用误差绝对值时间平方积分性能指标作为参数选择的目标函数,利用遗传算法的全局搜索能力,实现对全局最优解的寻优,以降低PID参数整定的难度,达到总体提高系统性能的目的。仿真结果表明,通过浮点数编码遗传算法进行PI参数优化可使系统具有很好的动态品质和稳态特性。This article introduces PID parameter optimization method based on the floating-point coded genetic algorithm,using the performance index-time squared integral of the error as the objective function,making use of the global search ability of genetic algorithm to achieve an optimum solution of the optimization,to reduce the difficulty to design PID performance,and overall improve system performance.The simulation results show that coded by floating-point genetic algorithm parameter optimization enables system PI has a good dynamic quality and steady state characteristics.

关 键 词：遗传算法 PID控制器 参数优化 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]