• DocumentCode
    2834220
  • Title

    A Genetic Algorithm Design Method for A Current Controller Employing "Two Ahead" Prediction

  • Author

    Odavic, Milijana ; Zanchetta, Pericle ; Sumner, Mark

  • Author_Institution
    Univ. of Nottingham, Nottingham
  • fYear
    2006
  • fDate
    15-17 Dec. 2006
  • Firstpage
    812
  • Lastpage
    817
  • Abstract
    This paper introduces an improved predictive control for the control of the current in a three-phase active shunt power filter (ASF). The proposed control system compensates for unavoidable digital controller delays, and provides an accurate prediction of the ASF behaviour in the next sampling period. A "two ahead" current reference prediction is proposed which estimates the filter current two samples in advance. The predictor is based on a second order extrapolation method, and can also account for sudden changes in the reference waveform. A genetic algorithm is used for parameter optimisation in the reference prediction/extrapolation formula. In addition to good tracking performance, the proposed controller is insensitive to measurement noise. The effectiveness of the proposed method is verified through experiment.
  • Keywords
    active filters; electric current control; extrapolation; genetic algorithms; power filters; predictive control; current controller; genetic algorithm; predictive control; second order extrapolation method; three-phase active shunt power filter; two ahead current reference prediction; Control systems; Delay; Design methodology; Digital control; Extrapolation; Genetic algorithms; Noise measurement; Power filters; Predictive control; Sampling methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology, 2006. ICIT 2006. IEEE International Conference on
  • Conference_Location
    Mumbai
  • Print_ISBN
    1-4244-0726-5
  • Electronic_ISBN
    1-4244-0726-5
  • Type

    conf

  • DOI
    10.1109/ICIT.2006.372364
  • Filename
    4237686