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Modeling and Simulation of Fuzzy Logic based Maximum Power Point Tracking (MPPT) for PV Application

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 8 No. 3 (2018)

DOI
10.11591/ijece.v8i3.pp1315-1323
ISSN
2088-8708, 2088-8708
Published
2018-06-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

This paper presents modeling and simulation of maximum power point tracking (MPPT) used in solar PV power systems. The Fuzzy logic algorithm is used to minimize the error between the actual power and the estimated maximum power. The simulation model was developed and tested to investigate the effectiveness of the proposed MPPT controller. MATLAB Simulink was employed for simulation studies. The proposed system was simulated and tested successfully on a photovoltaic solar panel model. The Fuzzy logic algorithm succesfully tracking the MPPs and performs precise control under rapidly changing atmospheric conditions. Simulation results indicate the feasibility and improved functionality of the system.

Collaboration network of the authors

14 authors · 32 co-authorship links · 9 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Lampung University
  • Universitas Ahmad Dahlan
  • Informatics and Business Institute Darmajaya
  • University of Technology Malaysia
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Tole SutiknoUniversitas Ahmad Dahlan2
Meizano Ardhi MuhammadLampung University1
Yetti YuniatiLampung University1
Kaira Milani FitriaInformatics and Business Institute Darmajaya1
MelviAffiliation unknown1
Emir NasrullahLampung University1
Nik Rumzi Nik IdrisUniversity of Technology Malaysia1
Rizky Ajie ApriliantoAffiliation unknown1
Alfin Fitrohul HudaLampung University1
Luthfiyyatun MardiyahLampung University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Modeling and Simulation of Fuzzy Logic based Maximum Power Point Tracking (MPPT) for PV Application</dc:title><dc:creator>Samosir, Ahmad Saudi</dc:creator><dc:creator>Gusmedi, Herri</dc:creator><dc:creator>Purwiyanti, Sri</dc:creator><dc:creator>Komalasari, Endah</dc:creator><dc:description>&lt;jats:p&gt;This paper presents modeling and simulation of maximum power point tracking (MPPT) used in solar PV power systems. The Fuzzy logic algorithm is used to minimize the error between the actual power and the estimated maximum power.  The simulation model was developed and tested to investigate the effectiveness of the proposed MPPT controller. MATLAB Simulink was employed for simulation studies. The proposed system was simulated and tested successfully on a photovoltaic solar panel model. The Fuzzy logic algorithm succesfully tracking the MPPs and performs precise control under rapidly changing atmospheric conditions. Simulation results indicate the feasibility and improved functionality of the system.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2018-06-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v8i3.pp1315-1323</dc:identifier><dc:identifier>10.11591/ijece.v8i3.pp1315-1323</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 8 No 3 (2018); 1315</dc:source><dc:source>2088-8708</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/9046/8673</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>