DocumentCode :
233460
Title :
Development of a fuzzy logic-based PV solar tracking system simulated using QT fuzzy engine
Author :
del Rosario, Jay Robert B. ; Dadios, Elmer
Author_Institution :
ECE Dept., De La Salle Univ., Manila, Philippines
fYear :
2014
fDate :
12-16 Nov. 2014
Firstpage :
1
Lastpage :
8
Abstract :
This paper examines the fuzzy logic approach associated with the design and optimization of photovoltaic (PV) solar energy. The main goal of the project is to compare the directed research of the author entitled: “Design and Optimization of a Photovoltaic Solar Energy in a Small Domesticated Establishment” to the one with Fuzzy Logic Controller project. Preliminary as it may be, this study stands to be a source of valuable promotion on renewable energy-solar resources.
Keywords :
fuzzy control; fuzzy logic; photovoltaic power systems; power engineering computing; solar cells; solar power; QT fuzzy engine; fuzzy logic controller project; fuzzy logic-based PV solar tracking system; photovoltaic solar energy optimization; renewable energy-solar resource; Fuzzy logic; Photovoltaic cells; Photovoltaic systems; Solar energy; Sun; Tracking; fuzzy logic; solar energy; solar tracker;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), 2014 International Conference on
Conference_Location :
Palawan
Print_ISBN :
978-1-4799-4021-9
Type :
conf
DOI :
10.1109/HNICEM.2014.7016232
Filename :
7016232
Link To Document :
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