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COMPUTER CONTROL
Alexei Lisounkin*, Gerhard Schreck*, Jonas Paiukγ, Franco Muratoriγ,
Mariana Vialeγ, Andrés Viglioccoγ, Aldo Z. Cipriano†, Marcos C. Orchard†,
Benjamin Kuchen‡, Andrés Lage‡, Francisco Rossomando‡,
Hans-Werner SchmidtЭ, Ramón Galánµ , Agustin Jimenezµ,
* Fraunhofer-IPK, Pascalstr. 8-9, 10587, Berlin, Germany
Phone: +49 (30) 39006 142, fax: +49 (30) 3911037
e-mail: alisounkin@ipk.fhg.de
γ SIDERAR S.A., Planta Gral. Savio (2900) San Nicolás, Argentina
Phone: +54 (3461) 43 8266; fax: +54 (3461) 43 8039
e-mail: apamvl@siderar.com
† Pontificia Universidad Católica de Chile, P.O.Box 306, Santiago 22, Chile
Phone: +56 (2) 686 4281; fax: +56 (2) 552 2563
e-mail: aciprian@ing.puc.cl
‡ Universidad Nacional de San Juan, Av. San Martin 1109 (O)
5400 - San Juan, Argentina. Phone: +54 64 21 3303; Fax: +54 64 21 3672
e-mail: alage@inaut.unsj.edu.ar
Э ELPRO EPE GmbH, Marzahner Strasse 34, 13053 Berlin, Germany
Phone: +49 (30) 9861 2480; fax: +49 (30) 9861 2479
e-mail: hans-werner.schmidt@elpro.de
µ Universidad Politécnica De Madrid, José Gutierrez Abascal, 2,
28006 Madrid, Spain. Phone: +34 (91) 336 3043; fax: +34 (91) 564 2961
e-mail: rgalan@etsii.upm.es
This paper presents the principles, as well as a prototype implementation, of a model-based supervisory system for the hot steel milling process. Here, a set of simulation models builds the core of the system and possess updated processes information. A model-based setup calculation and tendency prediction, as well as an online fault detection and equipment diagnostics, enhance the performance of the facility control procedure. Concepts of hierarchical modeling, distributed control and decentralized process data acquisition are studied in order to design a methodology for low-cost development of advanced supervision and control systems in industry.
Keywords: Steel industry, Modeling, Model-based control, Diagnosis, Fuzzy supervision
Session slot T-Tu-A21: Posters of Manufacturing and Instrumentation/Area code 1f : Low Cost Automation
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