Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Width Prediction Model and Control System using Neural Network and Fuzzy in Hot Strip Finishing Mills

신경회로망과 퍼지 논리를 이용한 열간 사상압연 폭 예측 모델 및 제어기 개발

  • 황이철 (동의대학교 메카트로닉스 공학과) ;
  • 박철재 (포스코 기술연구소)
  • Published : 2007.04.01
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Abstract

This paper proposes a new width control system composed of an ANWC(Automatic Neural network based Width Control) and a fuzzy-PID controller in hot strip finishing mills which aims at obtaining the desirable width. The ANWC is designed using a neural network based width prediction model to minimize a width variation between the measured width and its target value. Input variables for the neural network model are chosen by using the hypothesis testing. The fuzzy-PlD control system is also designed to obtain the fast looper response and the high width control precision in the finishing mill. It is shown through the field test of the Pohang no. 1 hot strip mill of POSCO that the performance of the width margin is considerably improved by the proposed control schemes.

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References

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