System modeling and temperature control of reheating furnace walking hearth type in the setting up process

Reheating furnace walking hearth type (RFWHT) has been used for the iron and wire rods of the reheating process in Ratchasima Steel Products Co., Ltd. Factory (Nakhon Ratchasima, Thailand). Ratchasima Steel Products Co., Ltd. is among the companies with the highest energy consumption in Thailand. The company is confronted by problems related to performance improvement in terms of temperature control and reduction of fuel consumption. Since the reheating furnace was installed in 1964 and with the adjustment of some of its devices, the system has required an optimal controller for controlling the temperature inside each zone of the reheating furnace. This study aimed at investigating the mathematical model from the experimental data in the manufacturing process of rolling wire rod production and subsystem by using system identification with genetic algorithm. Results can be used to design a proportional-integral controller for temperature control in each zone and to reduce fuel.

[1]  Jing Zhang,et al.  Model Parameter Identification of Excitation System based on a Genetic Algorithm Techniques , 2006, 2006 International Conference on Power System Technology.

[2]  Jiraphon Srisertpol,et al.  Manufacturing Process Identification for the Reheating Furnace Walking Hearth Type Using Genetic Algorithm , 2012 .

[3]  A. Kusters,et al.  MIMO system identification of a slab reheating furnace , 1994, 1994 Proceedings of IEEE International Conference on Control and Applications.

[4]  Min Wu,et al.  Modeling of reheating-furnace dynamics using neural network based on improved sequential-learning algorithm , 2006, 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control.

[5]  M.J. Grimble,et al.  Nonlinear predictive control of steel slab reheating furnace , 2008, 2008 American Control Conference.

[6]  Mei-Jiau Huang,et al.  Numerical Modeling of a Walking-Beam-Type Slab Reheating Furnace , 2008 .

[7]  Ahmad B. Rad,et al.  Qualitative system identification with the use of on-line genetic algorithms , 2001, Simul. Pract. Theory.

[8]  Tzong-Shyng Leu,et al.  OPTIMAL HEATING AND ENERGY MANAGEMENT FOR SLABS IN A REHEATING FURNACE , 2010 .

[9]  Mohammad Hassan Saidi,et al.  Heat transfer and energy analysis of a pusher type reheating furnace using oxygen enhanced air for combustion , 2010 .

[11]  Anton Jaklič,et al.  Online simulation model of the slab-reheating process in a pusher-type furnace , 2007 .

[12]  Pan Lian,et al.  Genetic Algorithm Based Computer Control System for Reheating Furnace Combustion , 2010, 2010 International Conference on Electrical and Control Engineering.

[13]  Daejun Chang,et al.  Efficiency analysis of radiative slab heating in a walking-beam-type reheating furnace , 2011 .

[14]  Sang Woo Kim,et al.  An Estimation of a Billet Temperature during Reheating Furnace Operation , 2007 .

[15]  Rudolf Scitovski,et al.  Solving the parameter identification problem of mathematical models using genetic algorithms , 2004, Appl. Math. Comput..

[16]  G. van Ditzhuijzen,et al.  Identification and model predictive control of a slab reheating furnace , 2002, Proceedings of the International Conference on Control Applications.

[17]  Man Young Kim,et al.  A heat transfer model for the analysis of transient heating of the slab in a direct-fired walking beam type reheating furnace , 2007 .