@article {10.3844/ajassp.2018.267.277,
article_type = {journal},
title = {A Real-Time Optimization Approach to the Efficiency of a Photovoltaic System by a Hybrid Tracking Technique using LabVIEW},
author = {Rezoug, Mohamed Redha and Chenni, Rachid},
volume = {15},
year = {2018},
month = {May},
pages = {267-277},
doi = {10.3844/ajassp.2018.267.277},
url = {https://thescipub.com/abstract/ajassp.2018.267.277},
abstract = {Among the lines of research on improving the efficiency of a photovoltaic panel, sun tracking techniques occupy a large part. In this article, an extension of Laboratory Virtual Instrument Engineering Workbench (LabVIEW); LabVIEW Interface For Arduino (LIFA) is used. It allows the driving of an Arduino board from LabVIEW, on which a collaboration technique between two categories of pursuit is developed: The first is sensory and the second is pre-programmed. This hybrid two-axis technique is characterized by impulse control strategist with pre-programmed control and dual sensory correction. The results reveal that the hybrid tracking system gave an additional energy gain of about 36% compared to a fixed photovoltaic panel system. Thus, it has practically a percentage increase of 2 and 2.3% respectively to the two techniques used.},
journal = {American Journal of Applied Sciences},
publisher = {Science Publications}
}