UMM Institutional Repository

PERANCANGAN MAKSIMUM POWER POINT TRACKING UNTUK PANEL SURYA MENGGUNAKAN KONVERTER BUCK-BOOST DENGAN METODE LOGIKA FUZZY (SOFTWARE)

SARI, AYU PURNAMA (2013) PERANCANGAN MAKSIMUM POWER POINT TRACKING UNTUK PANEL SURYA MENGGUNAKAN KONVERTER BUCK-BOOST DENGAN METODE LOGIKA FUZZY (SOFTWARE). Other thesis, University of Muhammadiyah Malang.

Full text not available from this repository.

Abstract

Solar Cells is a semiconductor component that functions convert light energy into electrical energy. The power generated by solar cells depends irradiation and temperature. In this study designed a circuit controller Maximum Power Point Tracking (MPPT) by using Fuzzy Logic Control (FLC) and the Buck-Boost converter. To get the maximum power of solar cell module attached to the condition static. Mamdani method was developed using input variables such as power (watts). FLC in the form of a numerical scale output Duty Cycle (k) in the form of PWM signal for switching on the converter. Power output is transferred to the load is highly dependent on the value of k. MPPT system is controlled by a microcontroller ATMega8535 programmed using the C language with the help of software codevision AVR. Keywords: Solar Cells, Maximum Power Point Tracking (MPPT), Buck - Boost Converters, Fuzzy Logic Control, Microcontroller ATMega8535, the C Language.

Item Type: Thesis (Other)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering > Department of Electrical Engineering (20201)
Depositing User: Halimatus Zahroh
Date Deposited: 30 Jan 2015 05:22
Last Modified: 30 Jan 2015 05:22
URI : http://eprints.umm.ac.id/id/eprint/15436

Actions (login required)

View Item View Item
UMM Official

© 2008 UMM Library. All Rights Reserved.
Jl. Raya Tlogomas No 246 Malang East Java Indonesia - Phone +62341464318 ext. 150, 151 - Fax +62341464101
E-Mail : infopus[at]umm.ac.id - Website : http://lib.umm.ac.id - Online Catalog : http://laser.umm.ac.id - Repository : http://eprints.umm.ac.id

Web Analytics

UMM Institutional Repository is powered by :
EPrints Logo