Comparison of Models for Optimal Control of Selected Metallurgical Aggregates

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F15%3A86096704" target="_blank" >RIV/61989100:27360/15:86096704 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Comparison of Models for Optimal Control of Selected Metallurgical Aggregates

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Comparison of Models for Optimal Control of Selected Metallurgical Aggregates

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20501 - Materials engineering

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

METAL 2015 : 24th International Conference on Metallurgy and Materials : conference proceedings : June 3rd-5th 2015, Hotel Voroněž I, Brno, Czech Republic, EU

ISBN

978-80-87294-62-8

ISSN

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e-ISSN

neuvedeno

Počet stran výsledku

6

Strana od-do

1733-1738

Název nakladatele

Tanger

Místo vydání

Ostrava

Místo konání akce

Brno

Datum konání akce

3. 6. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000374706100281