• DocumentCode
    622530
  • Title

    Fuzzy grey sliding mode control for maximum power point tracking of photovoltaic systems

  • Author

    Guo-Wei Hong ; Kai-Yew Lum ; Jung-Shan Lin

  • Author_Institution
    Dept. of Electr. Eng., Nat. Chi Nan Univ. Puli, Nantou, Taiwan
  • fYear
    2013
  • fDate
    12-14 June 2013
  • Firstpage
    1190
  • Lastpage
    1195
  • Abstract
    This paper proposes a fuzzy-grey sliding-mode control (FGSMC) strategy for maximum power point (MPP) tracking in photovoltaic (PV) systems. The problem to be addressed is that the linear reaching law in a previous SMC design has limited reaching speed if control saturation is to be avoided. Hence, a nonlinear reaching law is proposed by means of fuzzy-logic control which employs as inputs the sliding function, and its predicted forward difference provided by a grey-prediction algorithm. Control design is performed on an averaged system model, whereas the performances of FGSMC and SMC are compared in simulation on both the averaged model and the true switching PV system.
  • Keywords
    control system synthesis; fuzzy control; grey systems; maximum power point trackers; nonlinear control systems; photovoltaic power systems; power generation control; time-varying systems; variable structure systems; FGSMC strategy; MPP tracking; averaged system model; controller design; forward difference prediction; fuzzy grey sliding mode control; fuzzy-logic control; grey-prediction algorithm; maximum power point tracking; nonlinear reaching law; photovoltaic systems; sliding function input; switching PV system; Fuzzy logic; Integrated circuit modeling; Mathematical model; Noise measurement; Prediction algorithms; Sliding mode control; Switches; fuzzy control; grey predictor; maximum power point tracking; photovoltaic systems; sliding mode control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation (ICCA), 2013 10th IEEE International Conference on
  • Conference_Location
    Hangzhou
  • ISSN
    1948-3449
  • Print_ISBN
    978-1-4673-4707-5
  • Type

    conf

  • DOI
    10.1109/ICCA.2013.6564957
  • Filename
    6564957