@inproceedings{2eb7407ecb134e9dbc83475ce62bde5b,
title = "Fuzzy Logic Control Design of Mobile PV Using Bacterial Foraging Optimization",
abstract = "One of the new renewable energy types is solar energy. Solar energy can be converted into electrical energy through photovoltaic. In order for the intensity of sunlight is received by the photovoltaic more leverage, so that made the solar tracker system with two axes. Solar tracking system control the pitch and yaw angle that can drive a DC motor. Optimize error and delta error on sun tracking system based on fuzzy logic. The boundaries of fuzzy are optimized using the Bacterial Foraging Optimization (BFO) method. Mobile PV using fuzzy control and BFO has better performance than Fuzzy Logic Controller with an efficiency increase by 0.4%.",
keywords = "Bacterial Foraging Optimization (BFO), Fuzzy, Mobile PV, Photovoltaic, Solar Energy",
author = "Fitriyanah, {Dwi Nur} and Imam Abadi",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018 ; Conference date: 30-08-2018 Through 31-08-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/ISITIA.2018.8711161",
language = "English",
series = "Proceeding - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "215--220",
booktitle = "Proceeding - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018",
address = "United States",
}
