• DocumentCode
    159217
  • Title

    System identification of a DC-DC converter system using a Fast Affine Projection algorithm

  • Author

    Chen Wang ; Armstrong, Mark ; Gadoue, S. ; Missailidis, P.

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Newcastle Univ., Newcastle upon Tyne, UK
  • fYear
    2014
  • fDate
    8-10 April 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a real time system identification technique for DC-DC power buck converter applications. In order to achieve real time parameter identification and digital control within a power electronics system, fast convergence speed and low computational burden are necessary. The proposed algorithm, Fast Affine Projection, exhibit both of these requirements. It is applied in the field of power electronics for the first time, and is shown to offer superior performance to alternative techniques such as Least Mean Squares and Recursive Least Squares methods.
  • Keywords
    DC-DC power convertors; digital control; feedback; least mean squares methods; parameter estimation; power electronics; three-term control; voltage control; dc-dc converter system; dc-dc power buck converter; digital control; fast affine projection algorithm; least mean squares; power electronics system; real time parameter identification; real time system identification technique; recursive least squares methods; system identification; voltage feedback PID control strategy.; adaptive control; buck converter; digital control; parameter estimation; system identification;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Power Electronics, Machines and Drives (PEMD 2014), 7th IET International Conference on
  • Conference_Location
    Manchester
  • Electronic_ISBN
    978-1-84919-815-8
  • Type

    conf

  • DOI
    10.1049/cp.2014.0347
  • Filename
    6836949