• DocumentCode
    3748004
  • Title

    Dual-axis solar tracker based on predictive control algorithms

  • Author

    A. K. Suria;R. Mohamad Idris

  • Author_Institution
    Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, Malaysia
  • fYear
    2015
  • Firstpage
    238
  • Lastpage
    243
  • Abstract
    The paper presents the development of dual-axis solar tracker system based on predictive control algorithms. This prototype of solar tracker was tested and the result has shown the energy output of the solar panel increased by positioning a solar panel directly perpendicular to the sun and gaining the maximum sunlight intensity. The algorithm was programmed using Arduino ADK controller. The proposed solar time algorithm was used based on the sun´s position and sending the signal to the motor, thus moving the tracker towards the sun automatically. The performance of the system was tested and compared with static solar panel. The results have shown that the solar tracker was increased the percentage harvesting of the PV generation around 21.4%.
  • Keywords
    "Solar panels","Mathematical model","Renewable energy sources","Azimuth","Prediction algorithms","Tracking","Meteorology"
  • Publisher
    ieee
  • Conference_Titel
    Energy Conversion (CENCON), 2015 IEEE Conference on
  • Type

    conf

  • DOI
    10.1109/CENCON.2015.7409546
  • Filename
    7409546