Title :
Research on the identification algorithm and simulation relating to the radiation coefficient of metallurgical reheating furnace
Author :
Luo, Yaling ; Chen, Zhuang ; Wan, Liping
Author_Institution :
Coll. of Basic Med., Chongqing Med. Univ., Chongqing, China
Abstract :
The Reheating furnace is the major energy consumption item of equipment on a rolling steel production line within a metallurgical enterprise. Creating an optimized control system for the reheating furnace by using industrial controlled technology to control the temperature of the furnace, is the main method to promote reheating efficiency and reduce energy consumption of the furnace. The radiation coefficient of the furnace chamber is an important parameter of a reheating furnace control system. The quality of the control system is influenced directly by the coefficient. However, because that that parameter is a time based variable and the exact value of it is difficult to measure, it is settled as a constant in existing control system. As a result, the temperature of the steel slab can not be maintained accurately and output quality of a slab from a reheating furnace can not be assured. In this article, the technological process for a metallurgical reheating furnace has been analyzed, and the temperature distribution model of a slab in a reheating furnace has been built up by using the heating transfer theory. Also, a real-time identification algorithm relating to the radiation coefficient of a furnace chamber in this model has been presented, and computer simulation for this model has been performed with satisfying result: the error between the computed temperature and the real temperature of a slab being output from a reheating furnace is less than 0.05 degree centigrade.
Keywords :
energy conservation; furnaces; heat transfer; metallurgical industries; power consumption; rolling mills; temperature control; energy consumption; energy consumption reduction; identification algorithm; metallurgical enterprise; metallurgical reheating furnace; optimized control system; radiation coefficient; reheating furnace control system; rolling steel production line; Control systems; Electrical equipment industry; Energy consumption; Furnaces; Industrial control; Optimized production technology; Slabs; Steel; Temperature control; Time measurement; identification algorithm; radiation coefficient of furnace chamber; reheating furnace; simulation;
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
DOI :
10.1109/CCDC.2010.5498147