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%.

Original languageEnglish
Title of host publicationProceeding - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages215-220
Number of pages6
ISBN (Electronic)9781538676547
DOIs
Publication statusPublished - 2 Jul 2018
Event2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018 - Bali, Indonesia
Duration: 30 Aug 201831 Aug 2018

Publication series

NameProceeding - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018

Conference

Conference2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018
Country/TerritoryIndonesia
CityBali
Period30/08/1831/08/18

Keywords

  • Bacterial Foraging Optimization (BFO)
  • Fuzzy
  • Mobile PV
  • Photovoltaic
  • Solar Energy

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