Auto-tuning of reference model based PID controller using immune algorithm

被引：0

作者：

Kim, DH ^{[1
]}

Hong, WP ^{[1
]}

Park, JILL ^{[1
]}

机构：

[1] Hanbat Natl Univ, Dept Instrumentat & Control Eng, Yusong Gu, Taejon 305719, South Korea

来源：

CEC'02: PROCEEDINGS OF THE 2002 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2 | 2002年

关键词：

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：

In this paper auto-tuning scheme of PID controller based on the reference model has been studied by immune algorithm for a process. Up to this time, many sophisticated tuning algorithms have been tried in order to improve the PID controller performance under such difficult conditions. However, in the actual plant, they are manually tuned through a trial and error procedure, and the derivative action is switched off. Therefore, it is difficult to tune. Simulation results by immune based tuning reveal that tuning approaches suggested in this paper is an effective approach to search for optimal or near optimal process control.

引用

页码：483 / 488

页数：6

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