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

K. V. Santhosh, Tamal Dutta, J. S. Rajshekar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationInternational Conference on Signal Processing, Image Processing and Pattern Recognition 2013, ICSIPR 2013
Volume1
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 International Conference on Signal Processing, Image Processing and Pattern Recognition, ICSIPR 2013 - Coimbatore, India
Duration: 07-02-201308-02-2013

Conference

Conference2013 International Conference on Signal Processing, Image Processing and Pattern Recognition, ICSIPR 2013
CountryIndia
CityCoimbatore
Period07-02-1308-02-13

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All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

Cite this

Santhosh, K. V., Dutta, T., & Rajshekar, J. S. (2013). 2 D tracking system for solar panels using SVM implemented by motion assistant of LabVIEW. In International Conference on Signal Processing, Image Processing and Pattern Recognition 2013, ICSIPR 2013 (Vol. 1). [6497931] https://doi.org/10.1109/ICSIPR.2013.6497931