DocumentCode
2999023
Title
Genetic Algorithm Based Computer Control System for Reheating Furnace Combustion
Author
Ping, Qin Xiao ; Lian, Pan ; Qiang, Liu Zhi ; Ming, Liu Xiao
Author_Institution
Coll. of Inf. Sci. & Eng., Wuhan Univ. of Sci. & Technol., Wuhan, China
fYear
2010
fDate
25-27 June 2010
Firstpage
1058
Lastpage
1061
Abstract
Aiming at the intelligent control for reheating furnace combustion, a kind of genetic algorithm-based intelligent control method is presented. The performance index of the controller is a function that consists of error, output, rising tune and overshooting of the system. A group of optimum intelligent control parameters are acquired with the aid of global search ability on line based on real time error. Application results show that the combustion control system has good dynamic and static performances, adaptive capability and robustness.
Keywords
combustion; electric furnaces; genetic algorithms; intelligent control; performance index; rolling mills; computer control system; genetic algorithm; global search ability; intelligent control; real time error; reheating furnace combustion; Communities; Furnaces; Genetic algorithms; Heating; Performance analysis; Steel; Genetic Algorithm; Intelligent Control; Reheating Furnace Combustion;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-6880-5
Type
conf
DOI
10.1109/iCECE.2010.268
Filename
5630825
Link To Document