Review on control model of reheating furnace in hot rolling line

Author

Zhang Xuedong ; Li Yunhai ; Li Xiaohua

Author_Institution

Sch. of Electron. & Inf. Eng., Univ. of Sci. & Technol., Anshan, China

fYear

2014

fDate

28-30 July 2014

Firstpage

2929

Lastpage

2934

Abstract

Mathematical models for temperature control of heating furnace are summarized based on the research results on control model and optimization of furnace in latest 30 years in this paper. Some models are mainly illustrated in detail, such as Multiple regression model, prediction model, dynamic model, thermal balance model, recurrent neural network model, Combustion Process model based on immune clone evaluation algorithm and temperature optimization model based on hybrid particle swarm optimization, etc. The advantages and disadvantages of various control models are analyzed. Meanwhile development trends of control model research of furnace are provided.

Keywords

furnaces; hot rolling; optimisation; reviews; temperature control; combustion process model; control model; dynamic model; furnace optimization; hot rolling line; hybrid particle swarm optimization; immune clone evaluation algorithm; mathematical model; multiple regression model; prediction model; recurrent neural network model; reheating furnace; review; temperature control; temperature optimization model; thermal balance model; Billets; Furnaces; Heating; Mathematical model; Optimization; Predictive models; control model; reheating furnace; research prospect; review;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2014 33rd Chinese

Conference_Location

Nanjing

Type

conf

DOI

10.1109/ChiCC.2014.6897106

Filename

6897106