Title :
Modeling of gauge predictive control system in hot rolling mill based on BP network
Author :
Zhang, Jianrui ; Hu, Shengbo
Author_Institution :
North China Inst. of Aerosp. Eng., Langfang, China
Abstract :
This article draws from the four-high mill production line upgrading project. Through the careful research and analysis on threading process in a hot rolling mill, we proposed a new gauge predictive control system in hot rolling mill based on BP network forecasting model. The experimental result indicated that the BP neural network control model rolls over the end product, the crosswise thick difference for les0.002 mm, is higher than the common precise request.
Keywords :
backpropagation; forecasting theory; gauges; hot rolling; neurocontrollers; predictive control; rolling mills; threading (machining); BP network forecasting model; gauge predictive control system; hot rolling mill; mill production line upgrading project; neural network control model; threading process; Information processing; Milling machines; Neural networks; Neurons; Nonlinear control systems; Predictive control; Predictive models; Production; Slabs; Steel; BP Network; Modeling; Predictive Control; Simulation;
Conference_Titel :
Anti-counterfeiting, Security, and Identification in Communication, 2009. ASID 2009. 3rd International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-3883-9
Electronic_ISBN :
978-1-4244-3884-6
DOI :
10.1109/ICASID.2009.5276961
