Non-linear predictive control of steel slab reheating furnace

L. Balbis; J. Balderud; M.J. Grimble

doi:10.1109/ACC.2008.4586733

Non-linear predictive control of steel slab reheating furnace

L. Balbis, J. Balderud, M.J. Grimble

Electronic And Electrical Engineering

Research output: Contribution to conference › Paper

30 Citations (Scopus)

Abstract

In a steel plant, reheating furnaces are used for heating the steel slabs to a temperature of approximately 1200degC before rolling. Reheating furnaces consumes a lot of energy in steel plants. For competitive advantage it is important to improve the heating quality of slab and reduce the energy consumption as much as possible. This paper explores the potential of nonlinear model predictive control techniques to improve the temperature control of the metal slabs in a hot mill reheat furnace, and particularly whether or not these control techniques can be exploited to reduce the energy consumption. An example of actual furnace operation is presented to show the effectiveness of the proposed scheme.

Original language	English
Pages	1679-1684
Number of pages	6
DOIs	https://doi.org/10.1109/ACC.2008.4586733
Publication status	Published - 2008
Event	2008 American Control Conference - Seattle, United States Duration: 11 Jun 2008 → 13 Jun 2008

Conference

Conference	2008 American Control Conference
Country/Territory	United States
City	Seattle
Period	11/06/08 → 13/06/08

Keywords

control systems
non-linear predictive control

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ACC.2008.4586733

INDUSTRIAL NON-LINEAR CONTROL AND REALTIME APPLICATIONS
Grimble, M. (Principal Investigator), Katebi, R. (Co-investigator) & Ordys, A. (Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/05/05 → 30/04/10
Project: Research

Cite this

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abstract = "In a steel plant, reheating furnaces are used for heating the steel slabs to a temperature of approximately 1200degC before rolling. Reheating furnaces consumes a lot of energy in steel plants. For competitive advantage it is important to improve the heating quality of slab and reduce the energy consumption as much as possible. This paper explores the potential of nonlinear model predictive control techniques to improve the temperature control of the metal slabs in a hot mill reheat furnace, and particularly whether or not these control techniques can be exploited to reduce the energy consumption. An example of actual furnace operation is presented to show the effectiveness of the proposed scheme.",

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AU - Balderud, J.

AU - Grimble, M.J.

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AB - In a steel plant, reheating furnaces are used for heating the steel slabs to a temperature of approximately 1200degC before rolling. Reheating furnaces consumes a lot of energy in steel plants. For competitive advantage it is important to improve the heating quality of slab and reduce the energy consumption as much as possible. This paper explores the potential of nonlinear model predictive control techniques to improve the temperature control of the metal slabs in a hot mill reheat furnace, and particularly whether or not these control techniques can be exploited to reduce the energy consumption. An example of actual furnace operation is presented to show the effectiveness of the proposed scheme.

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KW - non-linear predictive control

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T2 - 2008 American Control Conference

Y2 - 11 June 2008 through 13 June 2008

ER -

Non-linear predictive control of steel slab reheating furnace

Abstract

Conference

Keywords

UN SDGs

Access to Document

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Projects

INDUSTRIAL NON-LINEAR CONTROL AND REALTIME APPLICATIONS

Cite this