International Journal of Fuzzy Logic and Intelligent Systems

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Neural Fuzzy Mold Level Control for Continuous Steel Casting

  • Lim, Chang-Gyoon (Department of Computer Engineering, Yosu National University) ;
  • Kueon, Yeong-Seob (Instrumentation ＆ Control Research Team, Technical Research Laboratories, Pohang Iron ＆Steel Co. Ltd) ;
  • Kim, Yigon (Department of Electrical Engineering, Yusu National University)
  • Published : 2002.06.01
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Abstract

Mold level control has been a major control task for continuous casting plants. The system involves nonlinearities such as stick-slip friction in the sliding gate, time-delay, friction force variations between molten steel and the inner wall of mold, and nozzle logging/unclogging. These complex problems should be solved to control mold level for steel cast. In this paper, we propose a neural fuzzy mold level control technique for solving these complex problems and give experiment studies to show the mold level control in continuous casting process.

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References

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