Publication detail

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

ŠTĚTINA, J. MAUDER, T. KLIMEŠ, L.

Original Title

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

Type

conference paper

Language

English

Original Abstract

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.

Keywords

Secondary Cooling, Fuzzy control, Model predictive control, GPU calculation

Authors

ŠTĚTINA, J.; MAUDER, T.; KLIMEŠ, L.

Released

16. 5. 2016

Publisher

AIST

Location

Pittsburgh, PA, USA

ISBN

9781935117551

Book

AISTech 2016 Proceedings

Edition

1

Edition number

1

Pages from

1517

Pages to

1530

Pages count

14

BibTex

@inproceedings{BUT125108,
  author="Josef {Štětina} and Tomáš {Mauder} and Lubomír {Klimeš}",
  title="Utilization of Non-linear Model Predictive Control to Secondary Cooling during Dynamic Variations",
  booktitle="AISTech 2016 Proceedings",
  year="2016",
  series="1",
  number="1",
  pages="1517--1530",
  publisher="AIST",
  address="Pittsburgh, PA, USA",
  isbn="9781935117551"
}