仿人智能控制器控制参数的免疫优化方法  

Method of immune optimization for control parameter in human simulated intelligent controller

作　　者：雷正桥[1] 

机构地区：[1]重庆工业职业技术学院教务处,重庆401120

出　　处：《辽宁工程技术大学学报（自然科学版）》2016年第1期101-104,共4页Journal of Liaoning Technical University (Natural Science)

基　　金：重庆市教委科技项目(渝教科2013-04)

摘　　要：针对智能控制中因控制参数多难于人工整定,提出了一种基于免疫原理的控制参数优化方法.剖析了控制参数整定的复杂性与存在问题,基于免疫原理讨论了控制参数的整定方法,给出了优化控制算法.以大滞后二阶过程为例,对仿人智能算法中多个控制参数进行了优选,过程仿真响应对比研究验证了基于免疫原理的优化方法可获得更优秀的控制指标,更好地满足了智能控制中高控制品质的要求.仿真实验研究表明:提出的控制参数优化方法是合理与有效的.Aiming at the difficulties to make the artificial tuning resulted from control parameter getting lot in intelligent control, the paper proposed a sort of optimization method of controller parameter based on immune principle. This study made the anatomy of complexity and existent problem in control parameter tuning, discussed the method of control parameter tuning based on immune principle, and gave the algorithm of optimization control. This paper took a two order with large time lag process as an example, conducted the selective preference of a plurality of control parameters in human simulated intelligent control algorithm. The response comparison research of process simulation demonstrated that the optimization method based on immune principle can obtain better control index, and satisfy the demand of high control quality in intelligent control so much the better. The simulation of experiment research shows that the proposed optimization method of control parameter is reasonable and effective.

关 键 词：仿人智能控制 控制参数 参数整定 免疫原理 优化参数 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]