Nonlinear model predictive control of a continuous slab reheating furnace

A nonlinear model predictive controller is designed for a continuous reheating furnace for steel slabs. Based on a first-principles mathematical model, the controller defines local furnace temperatures so that the slabs reach their desired final temperatures. The controller is suitable for non-stead...

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Bibliographic Details
Published in:Control engineering practice 2013-04, Vol.21 (4), p.495-508
Main Authors: Steinboeck, A., Wild, D., Kugi, A.
Format: Article
Language:English
Subjects:
Continuous slab reheating furnace
Furnaces
Heating furnaces
Mathematical analysis
Mathematical models
Nonlinear model predictive control
Nonlinear switched MIMO system
Nonlinearity
Optimization
Quasi-Newton method
Slabs
Steels
Unconstrained optimization
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Summary:A nonlinear model predictive controller is designed for a continuous reheating furnace for steel slabs. Based on a first-principles mathematical model, the controller defines local furnace temperatures so that the slabs reach their desired final temperatures. The controller is suitable for non-steady-state operating situations and reaching user-defined desired slab temperature profiles. In the control algorithm, a nonlinear unconstrained dynamic optimization problem is solved by the quasi-Newton method. The design of the controller exploits the fact that the considered slab reheating furnace is a continuous production process. Long-term measurement results from an industrial application of the controller demonstrate its reliability and accuracy.
ISSN:0967-0661
1873-6939
DOI:10.1016/j.conengprac.2012.11.012