Optimizing cooperative control based on genetic algorithm for electroSlag remelting process

Author

Jin-chun Song ; Li-li Zhao ; Hong-Yi Liu

Author_Institution

Sch. of Mech. Eng. & Autom., Northeastern Univ., Shenyang

fYear

2008

fDate

21-24 Sept. 2008

Firstpage

1216

Lastpage

1219

Abstract

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.

Keywords

genetic algorithms; melting; metallurgy; cooperative control; electroslag remelting process; genetic algorithm; metallurgy; optimization; Automatic control; Control systems; Electric variables control; Electrodes; Genetic algorithms; Optimal control; Production; Slag; Temperature control; Thickness control; Dynamic analysis; Electroslag remelting model; Multi-loop optimizing control; genetic algorithm (GA);

fLanguage

English

Publisher

ieee

Conference_Titel

Cybernetics and Intelligent Systems, 2008 IEEE Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-1673-8

Electronic_ISBN

978-1-4244-1674-5

Type

conf

DOI

10.1109/ICCIS.2008.4670764

Filename

4670764