• DocumentCode
    3396972
  • Title

    Design of fuzzy-PI smith controller for Automatic Gauge Control in cold rolling mill

  • Author

    Sung-Hoon Choi ; Young-il Kang ; Sangchul Won

  • Author_Institution
    Grad. Inst. of Ferrous Technol., POSTECH, Pohang, South Korea
  • fYear
    2012
  • fDate
    26-29 Nov. 2012
  • Firstpage
    323
  • Lastpage
    327
  • Abstract
    In this paper, a fuzzy-PI smith controller is derived for Automatic Gauge Control in a single-stand cold rolling mill. The controller consists of smith predictive control, fuzzy control, and PI control. The smith predictive control method is proposed to eliminate the time delay generated by the thickness measurement. Furthermore, the fuzzy control scheme is used to tune the parameters of PI controller automatically. The verification of control performance for the fuzzy-PI smith controller is conducted using Hardware-in-The-Loop Simulator (HILS). The experimental results show that the proposed controller yields smaller undershoot, faster settling time, stronger robustness, and higher control accuracy comparing to the conventional PI controller which is used in Monitor AGC.
  • Keywords
    PI control; cold rolling; control system synthesis; delays; fuzzy control; predictive control; rolling mills; steel industry; thickness measurement; HILS; Smith predictive control; automatic gauge control; fuzzy control; fuzzy-PI Smith controller design; hardware-in-the-loop simulator; monitor AGC; parameter tuning; proportional-integral controller; single-stand cold rolling mill; steel industry; thickness measurement; time delay; Automatic generation control; Delay effects; Mathematical model; Monitoring; Niobium; Predictive control; Strips;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Information Sciences (ICCAIS), 2012 International Conference on
  • Conference_Location
    Ho Chi Minh City
  • Print_ISBN
    978-1-4673-0812-0
  • Type

    conf

  • DOI
    10.1109/ICCAIS.2012.6466611
  • Filename
    6466611