• DocumentCode
    2848064
  • Title

    Application on neural PID control of MN-AGC in continuous hot rolling

  • Author

    Li, Boqun ; Guo, Jiaren ; Zhao, Zhiyong

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Univ. of Sci. & Technol., Anshan, China
  • fYear
    2010
  • fDate
    26-28 May 2010
  • Firstpage
    2255
  • Lastpage
    2258
  • Abstract
    It is always primary object to improve gauge control accuracy in hot strip mills. Limitation based on conventional PID emerged when the controlled object is complex, nonlinear and time-variant. MN-AGC based on single neuron PID controller is introduced for improving automatic gauge control accuracy and quality in continuous hot rolling. The controller is applied in hydraulic AGC of 1700ASP. The practical application results have shown the effectiveness of this algorithm and control performance gets much better.
  • Keywords
    gauges; hot rolling; neurocontrollers; nonlinear control systems; three-term control; MN-AGC; automatic gauge control accuracy; continuous hot rolling; hydraulic AGC; neural PID control; nonlinear systems; single neuron PID controller; time-variance; Automatic control; Control systems; Delay effects; Fluctuations; Milling machines; Neurons; Strips; Thermal expansion; Three-term control; X-rays; Continuous hot rolling; PID control; Screw down MN-AGC; Single neural;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2010 Chinese
  • Conference_Location
    Xuzhou
  • Print_ISBN
    978-1-4244-5181-4
  • Electronic_ISBN
    978-1-4244-5182-1
  • Type

    conf

  • DOI
    10.1109/CCDC.2010.5498834
  • Filename
    5498834