Title :
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
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);
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
DOI :
10.1109/ICCIS.2008.4670764
