Detail publikace

Optimal Control Algorithm for Continuous Casting Process by Using Fuzzy Logic

Originální název

Optimal Control Algorithm for Continuous Casting Process by Using Fuzzy Logic

Anglický název

Optimal Control Algorithm for Continuous Casting Process by Using Fuzzy Logic

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

Dokumenty

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"
}