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
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;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5554562
