Title :
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
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;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
DOI :
10.1109/iCECE.2010.464
