Optimizing Cooperative Control based on Genetic Algorithm for ElectroSlag Remelting Process

被引：0
|
作者：
Song Jin-chun [1 ]
Zhao Li-li [1 ]
Liu Hong-yi [1 ]
机构：
[1] Northeastern Univ, Sch Mech Engn & Automat, Shenyang, Peoples R China
来源：
2008 IEEE CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, VOLS 1 AND 2 | 2008年
关键词：
Electroslag remelting model; genetic algorithm (GA); Multi-loop optimizing control; Dynamic analysis;
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：
The cooperative control of both electrode remelting rate and position was applied in order to obtain optimal electroslag remelting metallurgy effect and improve melting production efficiency. The electroslag remelting process model was analyzed. Cooperative controller parameters were optimized by improved genetic algorithm based on ITAE criterion. The dynamic performance was analyzed to electroslag remelting control system. Study results show that optimizing cooperative control comes true stable control both electrode melting rate and electrode position. The control system has faster dynamic response and not overshoot.
引用
收藏
页码：168 / 171
页数：4
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