DocumentCode :
2904241
Title :
Prediction Model of Arc Furnace Based on Improved BP Neural Network
Author :
Zhao Hui ; Xiaobo Wang
Author_Institution :
Key Lab. for Control Theor. & Applic. in Complicated Syst., Tianjin Univ. of Technol., Tianjin, China
Volume :
3
fYear :
2009
fDate :
4-5 July 2009
Firstpage :
664
Lastpage :
669
Abstract :
Itpsilas very important to control the electrode current of arc furnace. This paper firstly discuss intelligent control method of arc furnace based on neural network, then the three-phase current prediction model of arc furnace has been built and it is analyzed and simulated by Matlab software. The result shows that the electrode is effective controlled and the effect by using improved BP method is satisfactory.
Keywords :
arc furnaces; backpropagation; electric current control; neurocontrollers; predictive control; BP neural network; Matlab software; arc furnace; current prediction; electrode current; intelligent control; prediction model; Control systems; Control theory; Electric variables control; Electrodes; Furnaces; Intelligent control; Mathematical model; Neural networks; Piecewise linear techniques; Predictive models; BP algorithm; arc furnace; neural network; prediction model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3682-8
Type :
conf
DOI :
10.1109/ESIAT.2009.358
Filename :
5199782
Link To Document :
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