Setpoint Optimization for Billet Reheating Furnace Based on Dynamic Immune Algorithm

Author

Xuegang, Sun ; Chao, Yun ; Zhengang, An

Author_Institution

Coll. of Mech. Eng. & Autom., Beihang Univ., Beijing, China

fYear

2010

fDate

25-27 June 2010

Firstpage

1888

Lastpage

1891

Abstract

The main objective of reheating furnace is to heat billets up to uniform temperature so as to result in successful rolling process. Since furnace temperature is key point for controlling billet heating, in this paper, a cubic spline is adopted to fitting furnace temperature distribution. Furthermore, a strategy of weighted slide window dynamic compensation and an optimal searching method of eccentric dynamic immune clone algorithm are presented to optimize set point of furnace temperature. Simulations show the effectiveness and efficiency of the proposed strategies.

Keywords

artificial immune systems; billets; furnaces; rolling; splines (mathematics); temperature distribution; billet heating; billet reheating furnace; cubic spline; dynamic immune algorithm; eccentric dynamic immune clone algorithm; furnace temperature distribution; optimal searching method; rolling process; setpoint optimization; weighted slide window dynamic compensation; Billets; Furnaces; Heating; Heuristic algorithms; Optimization; Temperature; Temperature measurement; Cubic spline; Dynamic setpoint optimization; Eccentric dynamic immune clone algorithm; Reheating Furnace; Weighted slide window;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Control Engineering (ICECE), 2010 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-6880-5

Type

conf

DOI

10.1109/iCECE.2010.464

Filename

5630543