PID Controller Parameters Optimization for the Main Steam Temperature System Based on Immune Algorithm-Particle Swarm Optimization

被引：0

作者：

Yuan Gui-li ^{[1
]}

Zhu Lei ^{[1
]}

机构：

[1] North China Elect Power Univ, Sch Control & Comp Engn, Beijing 102206, Peoples R China

来源：

PROCEEDINGS OF THE 10TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2012) | 2012年

关键词：

main steam temperature control system; PID controller; particle swarm optimization; immune algorithm;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, PID control model was set up for the main steam temperature control system of modern large-scale power plant, combined the immune algorithm and particle swarm optimization, and improved by adding adaptive crossover and adaptive mutation. It is optimized the main steam temperature control system which in typical load conditions with the improved algorithm. By comparison with the traditional genetic algorithm shows, this algorithm has certain advantages on convergence and robustness.

引用

页码：2618 / 2623

页数：6

共 4 条

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Eberhart, RC
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[4] A modified particle swarm optimizer
Shi, YH
Eberhart, R
[J]. 1998 IEEE INTERNATIONAL CONFERENCE ON EVOLUTIONARY COMPUTATION - PROCEEDINGS, 1998, : 69 - 73

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