• DocumentCode
    3409290
  • Title

    Sensorless modified adaptive kalman filter for current control of a three-phase inverter based distributed generation

  • Author

    Ahmed, K.H. ; Massoud, A.M. ; Finney, S.J. ; Williams, B.W.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Strathclyde Univ., Glasgow
  • fYear
    2008
  • fDate
    June 30 2008-July 2 2008
  • Firstpage
    1592
  • Lastpage
    1597
  • Abstract
    This paper presents a modified adaptive Kalman filter for sensorless current control of a three-phase inverter based distributed generation system. The delay introduced by measurements and the digital signal processor is compensated using a modified Kalman filter. The states of control variables can be estimated one sample in advance and the number of the measurement sensors can be reduced. For system robustness two current loops are used. Steepest descent adaptive control for grid voltage estimation has been employed in the control system. Stability and dynamic performances are analyzed using root locus for different state variables. Simulation and experimental results confirm the validity of the proposed approach.
  • Keywords
    adaptive Kalman filters; adaptive control; delays; distributed power generation; electric current control; invertors; power grids; robust control; current control; delay; digital signal processor; distributed generation; grid voltage estimation; sensorless modified adaptive Kalman filter; steepest descent adaptive control; three-phase inverter; Adaptive control; Current control; Delay systems; Digital signal processors; Distributed control; Inverters; Programmable control; Robustness; Sensorless control; State estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2008. ISIE 2008. IEEE International Symposium on
  • Conference_Location
    Cambridge
  • Print_ISBN
    978-1-4244-1665-3
  • Electronic_ISBN
    978-1-4244-1666-0
  • Type

    conf

  • DOI
    10.1109/ISIE.2008.4676972
  • Filename
    4676972