COMPARISON OF MODELS FOR OPTIMAL CONTROL OF SELECTED METALLURGICAL AGGREGATES

1 ŠPIČKA Ivo
Co-authors:
1 HEGER Milan 1 BAHENSKÝ Ivo 1 ZIMNÝ Ondřej 1 SZKANDERA Stanislav
Institution:
1 VSB - Technical University of Ostrava, Faculty of Metallurgy and Materials Engineering, Ostrava, Czech Republic, EU ivo.spicka@vsb.cz, milan.heger@vsb.cz, ondrej.zimny@vsb.cz, stanislav.szkandera.st@vsb.cz
Conference:
24th International Conference on Metallurgy and Materials, Hotel Voronez I, Brno, Czech Republic, EU, June 3rd - 5th 2015
Proceedings:
Proceedings 24th International Conference on Metallurgy and Materials
Pages:
1733-1738
ISBN:
978-80-87294-58-1
ISSN:
2694-9296
Published:
12th January 2015
Proceedings of the conference were published in Web of Science and Scopus.
Metrics:
145 views / 39 downloads
Abstract

Optimal control systems is still relevant topic. In industries (especially in the range of metallurgy) that are primarily dependent on energy there are desirable either changes in technology and changes in existing technologies or changes of traditional materials for substituting ones or to explore possibilities for energy savings. Optimal control, as the term itself suggests, leads to savings on principle, even energies that are required to ensure these processes. The core is the optimal control model. That describes the behaviour of the controlled system. We try to summarize modern methods, for example using the principles of artificial intelligence and genetic algorithms, to balance the core of modules, which are used to optimize process control. The main focus will be concentrate on selected aggregates in rolling mill plants especially on continuous reheating furnaces.

Keywords: heating, furnace, model, optimal control, simulation

© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Scroll to Top