PI Controller Design for Temperature Control of Reheating Furnace Walking Hearth Type in Setting up Process

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The slab reheating process for iron rolling to the small diameter wire in Ratchasima Steel Productions Co., Ltd. factory (Nakhon Ratchasima, Thailand) use the Reheating Furnace Walking Hearth Type (RFWHT). The Reheating Furnace was installed in 1964. The problems in the present are increasing performance of temperature control and reducing production cost. The factors affecting the price of wire rod are electrical power and fuel consumption. Because of this reason, the system requires an optimal PI controller for control the temperature inside each zone of the furnace and the steel production manufacture select the time from 10:00 PM to 8:00 AM for steel production because it has low cost. In addition, the process will stop during the day time. This paper presents the mathematical model for temperature control of RFWHT in setting up process using system identification with Genetic Algorithm. The setting up process consist RFWHT, fuel flow control through servo valve and PI controller. The result of the research demonstrates to create structure of the mathematical model of this process and PI controller design for the temperature control. Furthermore, the temperature responses show that the PI controller can reduce fuel consumption rate of the system.

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801-806

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August 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Emmanuel Karlo Nyarko and Rudolf Scitovski: Journal of the Applied Mathematics and Computation, Vol.153, issue 3(2004), p.651

Google Scholar

[2] Ahned N. Adb – Alla., S.J. Cheng, J.Y. Wen and Jing Zhang, in Proc. of 2006 International Conference on Power System Technology, Chongqing, China, 2006, pp.1-5.

Google Scholar

[3] Harzeh Jafar Karim and Mohammad Hassan Saidi: Journal of Iron and Steel Research, Vol.17 No.4(2010), p.12

Google Scholar

[4] J. Srisertpol, S. Tantrairatn, P. Tragrunwong, and V. Khomphis: International Journal of Mathematical Model and Method in Applied Sciences, Vol.5, issue 1(2011), p.167

Google Scholar

[5] Kuster A., Gustaaf van Ditzhuijzen., in Proc. of the 3rd IEEE Conference on Control Applications, Glasgow, Scotland , 1994, pp.1557-1563.

Google Scholar

[6] Chia-Tsung Hsieh., Mei-Jiau Huang., Shih-Tuen Lee and Chao-Hua Wang: International Journal of Computation and Methodology, Vol.53, issue 9(2008), p.966

Google Scholar

[7] Gustaaf Van Ditzhuijzen., Dirk Staalman and Arnold Koorn., in Proc. of the 2002 IEEE International Conference on Control Application, Glasgow, Scotland, 2002, pp.361-366.

Google Scholar

[8] Wei-Hsin Chen, Mu-Long Lin and Tzong-Shyng Leu: Journal of Marine Science and Technology, Vol.18 No.1(2010), p.24

Google Scholar

[9] Mir Esmaeil Masoumi and Zahra Izakmehri: International Journal of Modeling and Optimization, Vol.1No.1(2011), p.74

Google Scholar

[10] Yingxin Liao, Min Wu and Jin-Hua She: in Proc. of IEEE International Conference on Control Application, Munich, Germany, 2006, pp.3175-3181.

Google Scholar

[11] Man Young Kim: The International Journal of Heat and Mass Transfer, Vol.50, issues19-20 (2007), p.3740

Google Scholar

[12] Sang Heon Han., Daejun Chang and Cheol Huh: Energy, Vol.36, issue 2(2011), p.1265

Google Scholar

[13] Anton Jaklic., Franci Vode and Tomaz Kolenko: Applied Thermal Engineering, Vol.27(2007), p.1105

Google Scholar

[14] T. Pongam, J. Srisertpol and V. Khomphis: International Journal of Modeling and Optimization, Vol.2 No.2 (2012), p.114

Google Scholar