• DocumentCode
    2289176
  • Title

    Research on intelligent control methods of iron ore rotary kiln pellets sintering process

  • Author

    Wang, Jiesheng ; Ren, Xiudong

  • fYear
    2012
  • fDate
    6-8 July 2012
  • Firstpage
    501
  • Lastpage
    505
  • Abstract
    The iron ore rotary kiln pellets sintering production system is a typical complex nonlinear multivariable process with strongly coupling and large time delays. The up-to-the-minute research results of integrated modeling and optimized operation of rotary kiln pellets sintering production process based on intelligent control methods. It mainly includes the soft-sensor modeling, working state recognition and intelligent control strategy. In the end the existent problems and future research directions in the rotary kiln control field is concluded.
  • Keywords
    delay systems; intelligent control; iron; kilns; multivariable control systems; nonlinear control systems; sintering; coupling; intelligent control; iron ore rotary kiln pellet; nonlinear multivariable process; sintering production process; soft-sensor modeling; time delay; working state recognition; Automation; Educational institutions; Intelligent control; Kilns; Mathematical model; Process control; Support vector machines; integrated modeling; intelligent control; rotary kiln pellets sintering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2012 10th World Congress on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-1397-1
  • Type

    conf

  • DOI
    10.1109/WCICA.2012.6357931
  • Filename
    6357931