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http://dx.doi.org/10.7837/kosomes.2015.21.5.531

A Study on a Two-Axis Solar Tracking System Based on Fuzzy Logic Control  

Ahn, Byeongwon (Mokpo National Maritime University)
Lee, Hui-Bae (Graduate school of Mokpo National Maritime University)
Bae, Cherl-O (Mokpo National Maritime University)
Publication Information
Journal of the Korean Society of Marine Environment & Safety / v.21, no.5, 2015 , pp. 531-537 More about this Journal
Abstract
In order to maximize power output from the solar panels, one needs to keep the panels aligned with the sun. So solar tracker having high reliability must be designed. This paper cares about the design and evaluation of a two-axis solar tracker system based on fuzzy logic control with LabVIEW. The research focus on planning mechanical parts, making an intelligent controller which controls and monitors all parameters via user interface implemented of a fuzzy decision support system for control of photovoltaic panel movement. We also develop a real solar tracker system and analyze the influence indexes such as environment, weather, season, and light condition. The solar tracker is tested in real condition and all parameters related to the system operation are recorded and analyzed. The developed solar tracking system got a much higher efficiency about 38 % compare to fixed solar panel although the weather condition is affected a lot to the solar panel. So we confirmed the our auto tracking system is more effective and can allow more energy to be produced.
Keywords
Two-axis solar tracker; Fuzzy control; LabVIEW; Solar energy; Renewable energy;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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