• DocumentCode
    2513776
  • Title

    Design and simulation research for the automatic mixture system of magnesia refractory bricks

  • Author

    Wang, Yan ; Zhou, Yucheng ; Zhao, Weilun ; Jing, Yuanwei

  • Author_Institution
    Shenyang Inst. of Eng., Shenyang, China
  • fYear
    2011
  • fDate
    23-25 May 2011
  • Firstpage
    988
  • Lastpage
    992
  • Abstract
    This paper introduces control requirements, control method choosing, hardware design and software for the automatic mixture system of magnesia refractory bricks. S7-200 series of PLC are used to realize automatic control for batching system. Because of complexity of automatic mixture system, conventional compensating control method can not meet the required question precisely. A kind of mixture control system, based on dynamic neural network, is designed through analyzing the influence precision factors of mixture. Simulation is studied by collecting the mixture historical data from field engineering. And the simulation results illustrate that the method can reduce the mixture error effectively.
  • Keywords
    batch processing (industrial); brick; compensation; magnesium compounds; mixtures; neurocontrollers; programmable controllers; PLC; S7-200 series; automatic control; automatic mixture system; batching system; compensating control; control method; control requirement; dynamic neural network; hardware design; magnesia refractory brick; mixture control system; software design; Artificial neural networks; Computers; Control systems; Genetic algorithms; Neurons; Software; Training; Automatic mixture system; BP algorithm; Magnesia refractory bricks; Neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2011 Chinese
  • Conference_Location
    Mianyang
  • Print_ISBN
    978-1-4244-8737-0
  • Type

    conf

  • DOI
    10.1109/CCDC.2011.5968328
  • Filename
    5968328