Title :
Research on multi-BP NN-based control model for molten iron desulfurization
Author :
Dan, Binbin ; Chen, Kuisheng ; Xiong, Ling ; Rong, Zhijun ; Yi, Jiangang
Author_Institution :
Dept. of Ind. Eng., Wuhan Univ. of Sci. & Technol., Wuhan
Abstract :
Desulfurization of molten iron is very complex. The model based on traditional technology cannot achieve optimal desulfurization effect. A multi BP NN predictor model for desulfurizing molten iron is presented in this paper to predict three important operation parameters including consumption of desulfurizer, stirring speed and time. The results demonstrate that the model has good performance and meets the production requirements.
Keywords :
backpropagation; iron; neurocontrollers; process control; steel manufacture; Fe; desulfurization; desulfurizer consumption; multiBP NN-based control model; stirring speed; time; Automation; Costs; Iron; Neural networks; Partial differential equations; Predictive models; Production; Solids; Steel; Temperature; KR Desulfurization; NN multi-model; desulfurization predict; hot metal pretreatment;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4592875
