DocumentCode :
2471189
Title :
Modeling and identification of hot rolling mill
Author :
Pedersen, Lars Malcolm
Author_Institution :
Danish Steel Works Ltd., Frederiksvaerk, Denmark
Volume :
5
fYear :
1995
fDate :
21-23 Jun 1995
Firstpage :
3674
Abstract :
Two multivariable models for the hot rolling mill at the Danish Steel Works Ltd. have been derived and identified. The purposes of the models are to: 1) describe the process dynamics; and 2) estimate the plate thickness. The basic model structures are derived using physical relations for the process. The input signals for the models are measured during normal operation of the process. Since it is not possible to measure the process output directly, it is measured after the rolling. The two measurements are combined by solving an optimization problem. The two dynamic models are identified and satisfactory results are obtained. This indicates that the physical model structure is sensible. Furthermore multivariable models for controller design and implementation are now available for future work
Keywords :
dynamics; hot rolling; identification; multivariable systems; optimisation; steel industry; thickness control; Danish Steel Works; dynamic models; hot rolling mill; identification; input signals; multivariable models; optimization; plate thickness estimation; process dynamics; Hydraulic systems; Lagrangian functions; Milling machines; Moment methods; Predictive models; Signal processing; State-space methods; Steel; Thickness control; Thickness measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
Type :
conf
DOI :
10.1109/ACC.1995.533823
Filename :
533823
Link To Document :
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