• DocumentCode
    233460
  • Title

    Development of a fuzzy logic-based PV solar tracking system simulated using QT fuzzy engine

  • Author

    del Rosario, Jay Robert B. ; Dadios, Elmer

  • Author_Institution
    ECE Dept., De La Salle Univ., Manila, Philippines
  • fYear
    2014
  • fDate
    12-16 Nov. 2014
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper examines the fuzzy logic approach associated with the design and optimization of photovoltaic (PV) solar energy. The main goal of the project is to compare the directed research of the author entitled: “Design and Optimization of a Photovoltaic Solar Energy in a Small Domesticated Establishment” to the one with Fuzzy Logic Controller project. Preliminary as it may be, this study stands to be a source of valuable promotion on renewable energy-solar resources.
  • Keywords
    fuzzy control; fuzzy logic; photovoltaic power systems; power engineering computing; solar cells; solar power; QT fuzzy engine; fuzzy logic controller project; fuzzy logic-based PV solar tracking system; photovoltaic solar energy optimization; renewable energy-solar resource; Fuzzy logic; Photovoltaic cells; Photovoltaic systems; Solar energy; Sun; Tracking; fuzzy logic; solar energy; solar tracker;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), 2014 International Conference on
  • Conference_Location
    Palawan
  • Print_ISBN
    978-1-4799-4021-9
  • Type

    conf

  • DOI
    10.1109/HNICEM.2014.7016232
  • Filename
    7016232