• DocumentCode
    1947102
  • Title

    2 D tracking system for solar panels using SVM implemented by motion assistant of LabVIEW

  • Author

    Santhosh, K.V. ; Dutta, Tapas ; Rajshekar, J.S.

  • Author_Institution
    Dept. of Electr. Eng., NIT Silchar, Silchar, India
  • fYear
    2013
  • fDate
    7-8 Feb. 2013
  • Firstpage
    243
  • Lastpage
    247
  • Abstract
    Design of a two dimensional automated solar tracking system is discussed in this paper. The objectives of the proposed work are to design an automated tracking technique using Light Dependent Resistance (LDR), and solar panel power output to position the solar panel to absorb maximum energy. For positioning the solar panel two stepper motors are used those are controlled using National Instruments (NI) motion assistant and with the program written using Support Vector Machine (SVM) on LabVIEW. The controller is designed using SVM with the inputs as the solar panel output, LDR sensor output and target being the position of solar panel which yields maximum output from solar panel. SVM after being trained, validated, and tested is implemented to control the position of solar panels through two stepper motors. The system was tested and results showed the proposed technique has fulfilled its mentioned objectives.
  • Keywords
    power engineering computing; solar cell arrays; support vector machines; virtual instrumentation; 2D tracking system; LDR sensor output; LabVIEW; SVM; automated tracking technique; light dependent resistance; national instruments motion assistant; solar cell panel arrays; stepper motors; support vector machine; two dimensional automated solar tracking system; Commercialization; Data acquisition; Manuals; Microcontrollers; Silicon; Tracking; Training; Automation; LDR; LabVIEW; Solar Tracking; Support Vector Machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Image Processing & Pattern Recognition (ICSIPR), 2013 International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4673-4861-4
  • Type

    conf

  • DOI
    10.1109/ICSIPR.2013.6497931
  • Filename
    6497931