DOI QR코드

DOI QR Code

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

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.

키워드

참고문헌

  1. Nakagawa, S., Miura, H., Fukushima, S., and Armasaki, J, "Gauge control system for hot strip finishing mill," Proc. 29th IEEE Conf. on Decision and Control, Honolulu, HI, USA, 1990, pp. 1573-1578
  2. Yoshiro Seki, Kunio Sekiguchi, "Optimal Multivariable Looper Control for Hot Strip Finishing Mill," IEEE Transactions on industry applications, vol.27, no.1, pp. 124-130, January/February 1991 https://doi.org/10.1109/28.67543
  3. M. Okada, Y. Iwasaki, "Optimal control system for hot strip finishing mill," Proceedings of 35th, Conference on Decision and Control, pp.1236-1241, Kobe, Japan, December 1996
  4. Timothy Hesketh, "Controller Design for Hot Strip Finishing Mills," IEEE transactions on control systems technology, vol.6, no.2, pp. 208-219, March 1998 https://doi.org/10.1109/87.664188
  5. Lars M. Pedersen, "Multivariable thickness control of a hot rolling mill," Tech. Rep., Lund Institute of technology, September 1995
  6. C.C. Roberts, "Mechanical principles of rolling," Iron and Steel maker, vol. 25, pp. 57-59, 1998
  7. Konno Y. Development of hot rolling process simulator using GUI based simulation tool [A]. Steel Rolling 98 [C]. China, 1998
  8. H. Imanari and Y. Morimatsu and K. Sekiguchi and H. Ezure and R. Matuoka and A. Tokuda and H. Otobe, "Looper H-Infinity control for hot strip mill," IEEE Transactions on industry applications, vol. 33, no. 3, pp. 790-796, 1997 https://doi.org/10.1109/28.585871
  9. T. Hesketh and D. J. Clements and D. H. Buttler and R. Lann, "Controller design for hot strip finishing mills," IEEE Transactions on Control Systems Technology, vol. 6, no. 2, pp. 208-219, 1998 https://doi.org/10.1109/87.664188
  10. K. Asano and K. Yamamoto and T. Kawase and N. Nomura, "Hot strip mill tension-looper control based on decentralization and coordination," Control Engineering Practice, vol. 8, no.3, pp. 337-344, 2000 https://doi.org/10.1016/S0967-0661(99)00186-0
  11. H. Asada and A. Kitamura and S. Nishino and M. Konishi, "Adaptive and robust control method with estimation of rolling characteristics for looper angle control at hot strip mill," ISLJ International, vol. 43, no. 3, pp. 358-365, 2003
  12. G. Hearns and P. Reeve and T.S. Bilkhu and P. Smith, "Multivariable guage and mass flow control for hot strip mills," 11th IFAC Symposium on Automation in Mining, Mineral and Metal Processing, Nancy, France, 2004
  13. F. Janabi-Sharifi, "A neuron-fuzzy system for looper tension control in rolling mills," Control engineering practice, vol. 13, no. 1, pp. 1-13, 2005 https://doi.org/10.1016/j.conengprac.2003.09.013

피인용 문헌

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