• DocumentCode
    2522985
  • Title

    CFD-based system identification method for controlled system involved of fluid flow and heat/mass transfer

  • Author

    Meng, Qinglong ; Guan, Yanling ; Yan, Xiuying

  • Author_Institution
    Sch. of Environ Sci.&Eng., Chang´´an Univ., Xi´´an, China
  • fYear
    2011
  • fDate
    23-25 May 2011
  • Firstpage
    3274
  • Lastpage
    3279
  • Abstract
    This paper presents a new “grey-box” modelling approach of coupling transient computational fluid dynamics (CFD) simulation to system identification for modelling the controlled system involved of fluid flow and heat/mass transfer related process. In order to illuminate this method, a fluid flow and heat transfer related process, i.e. a 3-D spatio-temporal air temperature distribution and input (inlet air temperature) dependent process in the desert climate environment simulation laboratory is considered. This method models chamber temperature distribution without the use of an analytical model. The important theoretical aspects of CFD and system identification is introduced. The high accurate estimate parameters of simulation results demonstrate CFD-based system identification is feasible method to model fluid flow and heat/mass transfer related process.
  • Keywords
    computational fluid dynamics; heat transfer; mass transfer; 3D spatio-temporal air temperature distribution; CFD-based system identification; computational fluid dynamics simulation; controlled system; fluid flow; grey-box modelling; heat/mass transfer; inlet air temperature; Atmospheric modeling; Computational fluid dynamics; Computational modeling; Mathematical model; Monitoring; System identification; Temperature distribution; Computational Fluid Dynamics (CFD); Environment Simulation; Fluid Flow; Interface; System Identification; Three Dimension Temperature Distribution;
  • 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.2011.5968822
  • Filename
    5968822