Fuzzy Logic Control Design of Mobile PV Using Bacterial Foraging Optimization

Dwi Nur Fitriyanah; Imam Abadi

doi:10.1109/ISITIA.2018.8711161

Fuzzy Logic Control Design of Mobile PV Using Bacterial Foraging Optimization

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Citations (Scopus)

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 language	English
Title of host publication	Proceeding - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	215-220
Number of pages	6
ISBN (Electronic)	9781538676547
DOIs	https://doi.org/10.1109/ISITIA.2018.8711161
Publication status	Published - 2 Jul 2018
Event	2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018 - Bali, Indonesia Duration: 30 Aug 2018 → 31 Aug 2018

Publication series

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

Conference

Conference	2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018
Country/Territory	Indonesia
City	Bali
Period	30/08/18 → 31/08/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

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

Access to Document

10.1109/ISITIA.2018.8711161

Cite this

Fitriyanah, D. N., & Abadi, I. (2018). Fuzzy Logic Control Design of Mobile PV Using Bacterial Foraging Optimization. In Proceeding - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018 (pp. 215-220). Article 8711161 (Proceeding - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISITIA.2018.8711161

Fitriyanah, Dwi Nur ; Abadi, Imam. / Fuzzy Logic Control Design of Mobile PV Using Bacterial Foraging Optimization. Proceeding - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 215-220 (Proceeding - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018).

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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",

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series = "Proceeding - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018",

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Fitriyanah, DN & Abadi, I 2018, Fuzzy Logic Control Design of Mobile PV Using Bacterial Foraging Optimization. in Proceeding - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018., 8711161, Proceeding - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018, Institute of Electrical and Electronics Engineers Inc., pp. 215-220, 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018, Bali, Indonesia, 30/08/18. https://doi.org/10.1109/ISITIA.2018.8711161

Fuzzy Logic Control Design of Mobile PV Using Bacterial Foraging Optimization. / Fitriyanah, Dwi Nur ; Abadi, Imam.
Proceeding - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 215-220 8711161 (Proceeding - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - 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%.

AB - 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%.

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KW - Fuzzy

KW - Mobile PV

KW - Photovoltaic

KW - Solar Energy

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Fitriyanah DN , Abadi I. Fuzzy Logic Control Design of Mobile PV Using Bacterial Foraging Optimization. In Proceeding - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 215-220. 8711161. (Proceeding - 2018 International Seminar on Intelligent Technology and Its Application, ISITIA 2018). doi: 10.1109/ISITIA.2018.8711161

Fuzzy Logic Control Design of Mobile PV Using Bacterial Foraging Optimization

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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