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Utilization of Non-linear Model Predictive Control to Secondary Cooling during Dynamic Variations

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F16%3APU119158" target="_blank" >RIV/00216305:26210/16:PU119158 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Utilization of Non-linear Model Predictive Control to Secondary Cooling during Dynamic Variations

  • Original language description

    In the continuous casting of steel, there is a variety of dynamic situations, both planned and unplanned. The planned simulations include decreasing the temperature of the steel in the tundish or changing the steel grade. Unplanned situations can be breakout system interventions, equipment failure, etc. These situations can be optimally controlled by means of a modern type of controller-based, fuzzy-based predictive control algorithm by using the 3D non-linear transient temperature field model of the strand. A very fast dynamic solidification model was developed for the purpose to calculate these regulation models it real time. Software implementation and integration to the Level 2 automatization system is presented. Finally, advantages and disadvantages of this method of regulation are shown to the modeling of non-standard situations on a modern slab caster with 17 cooling loops in the secondary cooling zone.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20501 - Materials engineering

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    AISTech 2016 Proceedings

  • ISBN

    9781935117551

  • ISSN

  • e-ISSN

  • Number of pages

    14

  • Pages from-to

    1517-1530

  • Publisher name

    AIST

  • Place of publication

    Pittsburgh, PA, USA

  • Event location

    Pittsburgh, PA

  • Event date

    May 16, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article