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

fYear

2009

Firstpage

410

Lastpage

412

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICASID.2009.5276961

Filename

5276961