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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  );
  • 초록

    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.


  • 주제어

    Fuzzy control .   Neural networks .   Sliding mode control .   PID control .   Steel casting.  

  • 참고문헌 (13)

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    8. N. Kiupel, P. M. Frank, and J. Wochnik, 'Improvement of mold-level control using fuzzy logic,' Engineering Applications of Artificial Intelligence, Vol.7, No.5, pp. 493-499, 1994 
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    12. R. Li and M. Mukaidono, 'A New Approach to Rule Learning Based on Fusion of Fuzzy Logic and Neural Networks,' IEICE Trans. Inf. And Syst., Vol. E78-D, No. 11, pp. 1509-1514, 1995 
    13. J. C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum Press, New York, 1981 

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