Publication detail

Optimal Control Algorithm for Continuous Casting Process by Using Fuzzy Logic

MAUDER, T. ŠANDERA, Č. ŠTĚTINA, J.

Original Title

Optimal Control Algorithm for Continuous Casting Process by Using Fuzzy Logic

English Title

Optimal Control Algorithm for Continuous Casting Process by Using Fuzzy Logic

Type

journal article in Web of Science

Language

en

Original Abstract

A supervision algorithm for controlling of continuous casting (CC) process is presented. The control strategy is based on the observation of temperature distribution through the casting strand. The algorithm is composed of two parts, an original 3D transient numerical model of the temperature field and the fuzzy-regulation model. The numerical model calculates and predicts the temperature distribution while the fuzzy-regulation model tracks the temperature in specific areas and tunes the casting parameters such as the casting speed, the cooling intensities in the secondary cooling, etc. The main goal is to keep surface and core temperatures in the specific ranges corresponding with the hot ductility of steel and adequately reacts on the variable casting conditions. The results show good and robust control behavior, fast response to dynamic system changes and general applicability for any CC process.

English abstract

A supervision algorithm for controlling of continuous casting (CC) process is presented. The control strategy is based on the observation of temperature distribution through the casting strand. The algorithm is composed of two parts, an original 3D transient numerical model of the temperature field and the fuzzy-regulation model. The numerical model calculates and predicts the temperature distribution while the fuzzy-regulation model tracks the temperature in specific areas and tunes the casting parameters such as the casting speed, the cooling intensities in the secondary cooling, etc. The main goal is to keep surface and core temperatures in the specific ranges corresponding with the hot ductility of steel and adequately reacts on the variable casting conditions. The results show good and robust control behavior, fast response to dynamic system changes and general applicability for any CC process.

Keywords

Fuzzy regulation, Optimal control, Continuous casting, Secondary cooling

RIV year

2015

Released

01.07.2015

Publisher

WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim

Pages from

785

Pages to

798

Pages count

14

Documents

BibTex


@article{BUT112954,
  author="Tomáš {Mauder} and Čeněk {Šandera} and Josef {Štětina}",
  title="Optimal Control Algorithm for Continuous Casting Process by Using Fuzzy Logic",
  annote="A supervision algorithm for controlling of continuous casting (CC) process is presented. The control strategy is based on the observation of temperature distribution through the casting strand. The algorithm is composed of two parts, an original 3D transient numerical model of the temperature field and the fuzzy-regulation model. The numerical model calculates and predicts the temperature distribution while the fuzzy-regulation model tracks the temperature in specific areas and tunes the casting parameters such as the casting speed, the cooling intensities in the secondary cooling, etc. The main goal is to keep surface and core temperatures in the specific ranges corresponding with the hot ductility of steel and adequately reacts on the variable casting conditions. The results show good and robust control behavior, fast response to dynamic system changes and general applicability for any CC process.",
  address="WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim",
  chapter="112954",
  doi="10.1002/srin.201400213",
  howpublished="print",
  institution="WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim",
  number="7",
  volume="86",
  year="2015",
  month="july",
  pages="785--798",
  publisher="WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim",
  type="journal article in Web of Science"
}