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MEMBERS OF RESEARCH CENTER
Research Centre
Data - Algorithms - Decision Making
Data - Algorithms - Decision Making
Established in 2005 under support of MŠMT ČR (project 1M0572)
Publications
Mixing models to improve gauge prediction for cold rolling mills
Typ:
Conference paper
Authors:
Proceedings name:
Preprints of the 12th IFAC Symposium on Automation in Mining, Mineral and Metal Processing
Publisher:
Université Laval, Québec City, Canada
Serie:
Québec City, Canada
Year:
2007
Pages:
443-447
Keywords:
rolling mill, prediction, industrial control, feedback contr
URL (www page):
Anotation:
Several techniques exist for evaluation or prediction of the strip gauge in the rolling gap. The method presented here consists in mixing several well known techniques to utilize all available information for weighted gauge prediction. Multiple use of recursive parameter estimation together with consistent handling of transport delays are essential for a working solution.