• DocumentCode
    2846630
  • Title

    Intelligent optimizing setting control method for shaft furnace roasting process

  • Author

    Yan, Ai-Jun ; Xu, Zhe ; Wang, Pu

  • Author_Institution
    Coll. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China
  • fYear
    2010
  • fDate
    26-28 May 2010
  • Firstpage
    2599
  • Lastpage
    2602
  • Abstract
    Due to its synthetic and complex characters, such as multivariable, strong coupling, nonlinearity, the shaft furnace roasting process is very difficult to control in optimizing mode. To deal with this problem, a hybrid intelligent optimizing setting control approach is developed. The set points in control loops are produced by the methodology of case-based reasoning (CBR), followed by real-time appraisal and correction for the purpose of the optimizing on integrated production indices. The proposed method realized the optimizing control for integrated production indices. The successful application on shaft furnaces from a mineral processing plant in China indicates effectiveness of the proposed method.
  • Keywords
    case-based reasoning; control engineering computing; furnaces; intelligent control; mineral processing industry; multivariable control systems; nonlinear control systems; production engineering computing; case-based reasoning; integrated production indices; intelligent control; mineral processing plant; multivariable characteristic; nonlinear characteristic; optimizing setting control; shaft furnace roasting process; strong coupling characteristic; Control systems; Furnaces; Intelligent control; Open loop systems; Optimal control; Optimization methods; Production; Shafts; Temperature control; Thermal variables control; Intelligent Control; Optimizing Setting; Shaft Furnace;
  • 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.2010.5498753
  • Filename
    5498753