An Immune Based Multi-parameter Optimization for Intelligent Controller

被引：0

作者：

Pei, Yu-ling ^{[1
]}

Qin, Ren-chao ^{[2
]}

机构：

[1] Chongqing Ind Polytech Coll, Dept Automat, Chongqing 400050, Peoples R China

[2] South West Univ Sci & Technol, Coll Comp Sci, Mianyang 621003, Peoples R China

来源：

FUZZY INFORMATION AND ENGINEERING 2010, VOL 1 | 2010年 / 78卷

关键词：

Multi-parameter optimization; HSIC; immune algorithm; parameter tuning;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

To solve the puzzle of multi-parameter optimization problem of intelligent controller, the paper proposed an immune-genetic principle based optimization method of multi-parameter controller. Inspired by biology immune principle, firstly it was defined to some concepts such as antibody, antigen and affinity of the parameter optimization problem. Secondly the immune based optimization process of parameter tuning was depicted in detail. Then it took the parameter timing of human simulated intelligent controller as an example to make the digital simulation for complex system. The simulation result showed that it is better in control quality than other PID tuning method to the intelligent controller, and more suitable for solving the control puzzle of complicated object.

引用

页码：199 / +

页数：2