International Journal of Fuzzy Logic and Intelligent Systems

  • 제8권1호
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  • Pages.24-30
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  • 2008
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  • 1598-2645(pISSN)
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  • 2093-744X(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
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Dynamic Simulation of AGC/LPC Synthetical System for Hot Strip Finishing Mill

  • Wang, Xiaoying (Department of Automation, Shanghai Jiao Tong University) ;
  • Wang, Jingcheng (Department of Automation, Shanghai Jiao Tong University)
  • 발행 : 2008.03.01
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초록

A simulation of hot strip finishing mill automatic gauge control (AGC) system is built, which is divided into four modules such as rolling mill system, AGC module, looper system and strip model. The rolling mill system is built by mechanism modeling, the looper system and strip model are built by function modeling, and the AGC model is tried to use intelligent control of a multi-function AGC system. The target is attempted to use this simulation object to minimize finisher exit strip thickness deviation resulting from strip entry thickness disturbance and rolling force deviation. Simulation results show that the result of this AGC/LPC synthetical system module simulation is quite close to the actual result. The simulation system can also analyze most kinds of disturbance which affect the rolling process. It is proved that the system can represent practical situation of hot strip finishing mill process control, and be used as a basic platform of research and development for researcher and engineer.

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참고문헌

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피인용 문헌

  1. Adaptive Fuzzy Logic Controllers Using Hybrid Genetic Algorithms vol.27, pp.01, 2019, https://doi.org/10.1142/S021848851950003X