TY - GEN
T1 - 2 D tracking system for solar panels using SVM implemented by motion assistant of LabVIEW
AU - Santhosh, K. V.
AU - Dutta, Tamal
AU - Rajshekar, J. S.
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/84876765282
UR - https://www.scopus.com/inward/citedby.url?scp=84876765282&partnerID=8YFLogxK
U2 - 10.1109/ICSIPR.2013.6497931
DO - 10.1109/ICSIPR.2013.6497931
M3 - Conference contribution
AN - SCOPUS:84876765282
SN - 9781467348614
VL - 1
T3 - International Conference on Signal Processing, Image Processing and Pattern Recognition 2013, ICSIPR 2013
SP - 243
EP - 247
BT - International Conference on Signal Processing, Image Processing and Pattern Recognition 2013, ICSIPR 2013
PB - IEEE Computer Society
T2 - 2013 International Conference on Signal Processing, Image Processing and Pattern Recognition, ICSIPR 2013
Y2 - 7 February 2013 through 8 February 2013
ER -