• DocumentCode
    2246817
  • Title

    Online identification of time-variant parameters using the frequency transform regressive method

  • Author

    Xingju, Lu ; Hongwu, Guo ; Zhiqiang, Zheng

  • Author_Institution
    College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, P.R. China 410073
  • fYear
    2015
  • fDate
    28-30 July 2015
  • Firstpage
    2099
  • Lastpage
    2104
  • Abstract
    Online identification and real-time aircraft model updating allows the adoption of more intelligent control methods. An identification algorithm called Fourier Transform Regression that uses the recursive Fourier transform and least-square methods is employed to identify the aerodynamic and control derivatives online. The main contribution of this paper is to adopt a vector of forgetting factors for tracking the time-varying parameters in system dynamics. Simulation results indicate that the proposed scheme works well.
  • Keywords
    Aerodynamics; Aircraft; Atmospheric modeling; Estimation; Mathematical model; Parameter estimation; Time-frequency analysis; Fourier Transform Regression; Parameter identification; fault estimation; time-varying systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2015 34th Chinese
  • Conference_Location
    Hangzhou, China
  • Type

    conf

  • DOI
    10.1109/ChiCC.2015.7259958
  • Filename
    7259958