DocumentCode
1690663
Title
Fuzzy control using genetic algorithm for gas collectors of coke ovens
Author
Li, HongXing ; Luo, Bingzhang
Author_Institution
Autom. Coll., Beijing Union Univ., Beijing, China
fYear
2010
Firstpage
5087
Lastpage
5092
Abstract
The pressure system of gas collectors of coke oven is a multivariable non-linear process. A new model of the fuzzy control using the genetic algorithm for the pressure system of gas collectors of coke oven is proposed in this paper. The improved genetic algorithm is an on-line technique and is used to optimize the parameters of the fuzzy controller and to eliminate coupling of the pressure between the gas collector pipe of the coke oven1# and one of the coke oven2# in real-time. The simulation results show that this method is satisfied and efficient.
Keywords
coke; fuzzy control; genetic algorithms; multivariable control systems; nonlinear control systems; ovens; pipelines; pressure control; coke oven; fuzzy control; gas collector pipe; genetic algorithm; multivariable nonlinear process; pressure system; Fuzzy control; Fuzzy sets; Niobium; Ovens; Process control; Real time systems; Steady-state; Fuzzy control; coke oven; gas collector; genetic algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location
Jinan
Print_ISBN
978-1-4244-6712-9
Type
conf
DOI
10.1109/WCICA.2010.5554562
Filename
5554562
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