Simulation Research of Genetic Neural Network based PID Control for Coke Oven Heating

Author

Gao, Xianwen ; Cai, Xiaoyan ; Yu, Xiaofeng

Author_Institution

Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang

Volume

2

fYear

0

fDate

0-0 0

Firstpage

7706

Lastpage

7710

Abstract

With the background of coke oven heating control system, a genetic algorithm based CMAC (cerebellar model articulation controller) and PID compound control method is presented to control the temperature of coke oven. Genetic algorithm is used to optimize the initial parameter of PID controller, and CMAC neural network is combined with the optimized PID controller. With the simplified model of coke oven, simulations have been done in MATLAB for the new control method. The simulation results prove that it is feasible to apply this method in the process of coke oven temperature control

Keywords

cerebellar model arithmetic computers; coke; fuel processing industries; genetic algorithms; heating; industrial control; mathematics computing; neurocontrollers; ovens; temperature control; three-term control; CMAC neural network; MATLAB; PID compound control; cerebellar model articulation controller; coke oven heating control system; coke oven temperature control; genetic algorithm based CMAC; genetic neural network based PID control; Automatic control; Control systems; Genetic algorithms; Heating; Mathematical model; Neural networks; Ovens; Production systems; Temperature control; Three-term control; CMAC and PID compound control; coke oven; genetic algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713467

Filename

1713467