Design and Implementation of Boost Converter for Maximum Power Point Tracking Based on Fuzzy Logic Controller in Photovoltaic System

Feby Agung Pamuji; Muhammad Nafidz Fathnan Amrulloh; Mochamad Ashari; M. A.isynani Syarif; Bambang Sudarmanta; Mohammad Khoirul Effendi; Nurvita Arumsari; Putri Nur Rahayu

doi:10.1109/ISITIA66279.2025.11137530

Design and Implementation of Boost Converter for Maximum Power Point Tracking Based on Fuzzy Logic Controller in Photovoltaic System

Feby Agung Pamuji
, Muhammad Nafidz Fathnan Amrulloh
, Mochamad Ashari
, M. A.isynani Syarif
, Bambang Sudarmanta
, Mohammad Khoirul Effendi
, Nurvita Arumsari
, Putri Nur Rahayu

Institut Teknologi Sepuluh Nopember
Shipbuilding Institute of Polytechnic Surabaya

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

2 Citations (Scopus)

Abstract

This research focuses on the design and implementation of a boost converter for photovoltaic (solar panel) systems using a Maximum Power Point Tracking (MPPT) algorithm based on a Fuzzy Logic Controller (FLC). The boost converter is designed to increase and stabilize the output voltage despite load variations, which is crucial for optimizing MPPT performance. The research results show that the designed boost converter can effectively increase and stabilize the output voltage. Simulations of the MPPT method based on Fuzzy Logic demonstrate better results compared to the Perturb and Observe (P&O) method under both constant and varying irradiance conditions, with the highest efficiency reaching 91.13% under constant irradiance and 90.20% under varying irradiance. The implementation of parallel loads also shows good efficiency, with a two-parallel load configuration achieving 86.76% efficiency and 86.01% efficiency under partial shading conditions. Overall, the integration of the boost converter with the Fuzzy Logic-based MPPT method has proven to enhance voltage and current stability, as well as the overall efficiency and performance of the PV system.

Original language	English
Title of host publication	26th International Seminar on Intelligent Technology and Its Applications
Subtitle of host publication	Fostering Equal Opportunities for Breakthrough Technology Innovations, ISITIA 2025 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	708-713
Number of pages	6
Edition	2025
ISBN (Electronic)	9798331537609
DOIs	https://doi.org/10.1109/ISITIA66279.2025.11137530
Publication status	Published - 2025
Event	26th International Seminar on Intelligent Technology and Its Applications, ISITIA 2025 - Hybrid, Surabaya, Indonesia Duration: 23 Jul 2025 → 25 Jul 2025

Conference

Conference	26th International Seminar on Intelligent Technology and Its Applications, ISITIA 2025
Country/Territory	Indonesia
City	Hybrid, Surabaya
Period	23/07/25 → 25/07/25

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Boost Converter
FLC
MPPT
PV

Access to Document

10.1109/ISITIA66279.2025.11137530

Cite this

Pamuji, F. A., Amrulloh, M. N. F., Ashari, M., Syarif, M. A. I., Sudarmanta, B., Effendi, M. K., Arumsari, N., & Rahayu, P. N. (2025). Design and Implementation of Boost Converter for Maximum Power Point Tracking Based on Fuzzy Logic Controller in Photovoltaic System. In 26th International Seminar on Intelligent Technology and Its Applications: Fostering Equal Opportunities for Breakthrough Technology Innovations, ISITIA 2025 - Proceedings (2025 ed., pp. 708-713). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISITIA66279.2025.11137530

Pamuji, Feby Agung ; Amrulloh, Muhammad Nafidz Fathnan ; Ashari, Mochamad et al. / Design and Implementation of Boost Converter for Maximum Power Point Tracking Based on Fuzzy Logic Controller in Photovoltaic System. 26th International Seminar on Intelligent Technology and Its Applications: Fostering Equal Opportunities for Breakthrough Technology Innovations, ISITIA 2025 - Proceedings. 2025. ed. Institute of Electrical and Electronics Engineers Inc., 2025. pp. 708-713

@inproceedings{cf1267f343a34976a463392a59976acc,

title = "Design and Implementation of Boost Converter for Maximum Power Point Tracking Based on Fuzzy Logic Controller in Photovoltaic System",

abstract = "This research focuses on the design and implementation of a boost converter for photovoltaic (solar panel) systems using a Maximum Power Point Tracking (MPPT) algorithm based on a Fuzzy Logic Controller (FLC). The boost converter is designed to increase and stabilize the output voltage despite load variations, which is crucial for optimizing MPPT performance. The research results show that the designed boost converter can effectively increase and stabilize the output voltage. Simulations of the MPPT method based on Fuzzy Logic demonstrate better results compared to the Perturb and Observe (P\&O) method under both constant and varying irradiance conditions, with the highest efficiency reaching 91.13\% under constant irradiance and 90.20\% under varying irradiance. The implementation of parallel loads also shows good efficiency, with a two-parallel load configuration achieving 86.76\% efficiency and 86.01\% efficiency under partial shading conditions. Overall, the integration of the boost converter with the Fuzzy Logic-based MPPT method has proven to enhance voltage and current stability, as well as the overall efficiency and performance of the PV system.",

keywords = "Boost Converter, FLC, MPPT, PV",

author = "Pamuji, \{Feby Agung\} and Amrulloh, \{Muhammad Nafidz Fathnan\} and Mochamad Ashari and Syarif, \{M. A.isynani\} and Bambang Sudarmanta and Effendi, \{Mohammad Khoirul\} and Nurvita Arumsari and Rahayu, \{Putri Nur\}",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 26th International Seminar on Intelligent Technology and Its Applications, ISITIA 2025 ; Conference date: 23-07-2025 Through 25-07-2025",

year = "2025",

doi = "10.1109/ISITIA66279.2025.11137530",

language = "English",

pages = "708--713",

booktitle = "26th International Seminar on Intelligent Technology and Its Applications",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

edition = "2025",

}

Pamuji, FA, Amrulloh, MNF, Ashari, M, Syarif, MAI, Sudarmanta, B , Effendi, MK, Arumsari, N & Rahayu, PN 2025, Design and Implementation of Boost Converter for Maximum Power Point Tracking Based on Fuzzy Logic Controller in Photovoltaic System. in 26th International Seminar on Intelligent Technology and Its Applications: Fostering Equal Opportunities for Breakthrough Technology Innovations, ISITIA 2025 - Proceedings. 2025 edn, Institute of Electrical and Electronics Engineers Inc., pp. 708-713, 26th International Seminar on Intelligent Technology and Its Applications, ISITIA 2025, Hybrid, Surabaya, Indonesia, 23/07/25. https://doi.org/10.1109/ISITIA66279.2025.11137530

Design and Implementation of Boost Converter for Maximum Power Point Tracking Based on Fuzzy Logic Controller in Photovoltaic System. / Pamuji, Feby Agung; Amrulloh, Muhammad Nafidz Fathnan; Ashari, Mochamad et al.
26th International Seminar on Intelligent Technology and Its Applications: Fostering Equal Opportunities for Breakthrough Technology Innovations, ISITIA 2025 - Proceedings. 2025. ed. Institute of Electrical and Electronics Engineers Inc., 2025. p. 708-713.

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

TY - GEN

T1 - Design and Implementation of Boost Converter for Maximum Power Point Tracking Based on Fuzzy Logic Controller in Photovoltaic System

AU - Pamuji, Feby Agung

AU - Amrulloh, Muhammad Nafidz Fathnan

AU - Ashari, Mochamad

AU - Syarif, M. A.isynani

AU - Sudarmanta, Bambang

AU - Effendi, Mohammad Khoirul

AU - Arumsari, Nurvita

AU - Rahayu, Putri Nur

PY - 2025

Y1 - 2025

N2 - This research focuses on the design and implementation of a boost converter for photovoltaic (solar panel) systems using a Maximum Power Point Tracking (MPPT) algorithm based on a Fuzzy Logic Controller (FLC). The boost converter is designed to increase and stabilize the output voltage despite load variations, which is crucial for optimizing MPPT performance. The research results show that the designed boost converter can effectively increase and stabilize the output voltage. Simulations of the MPPT method based on Fuzzy Logic demonstrate better results compared to the Perturb and Observe (P&O) method under both constant and varying irradiance conditions, with the highest efficiency reaching 91.13% under constant irradiance and 90.20% under varying irradiance. The implementation of parallel loads also shows good efficiency, with a two-parallel load configuration achieving 86.76% efficiency and 86.01% efficiency under partial shading conditions. Overall, the integration of the boost converter with the Fuzzy Logic-based MPPT method has proven to enhance voltage and current stability, as well as the overall efficiency and performance of the PV system.

AB - This research focuses on the design and implementation of a boost converter for photovoltaic (solar panel) systems using a Maximum Power Point Tracking (MPPT) algorithm based on a Fuzzy Logic Controller (FLC). The boost converter is designed to increase and stabilize the output voltage despite load variations, which is crucial for optimizing MPPT performance. The research results show that the designed boost converter can effectively increase and stabilize the output voltage. Simulations of the MPPT method based on Fuzzy Logic demonstrate better results compared to the Perturb and Observe (P&O) method under both constant and varying irradiance conditions, with the highest efficiency reaching 91.13% under constant irradiance and 90.20% under varying irradiance. The implementation of parallel loads also shows good efficiency, with a two-parallel load configuration achieving 86.76% efficiency and 86.01% efficiency under partial shading conditions. Overall, the integration of the boost converter with the Fuzzy Logic-based MPPT method has proven to enhance voltage and current stability, as well as the overall efficiency and performance of the PV system.

KW - Boost Converter

KW - FLC

KW - MPPT

KW - PV

UR - https://www.scopus.com/pages/publications/105016902699

U2 - 10.1109/ISITIA66279.2025.11137530

DO - 10.1109/ISITIA66279.2025.11137530

M3 - Conference contribution

AN - SCOPUS:105016902699

SP - 708

EP - 713

BT - 26th International Seminar on Intelligent Technology and Its Applications

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 26th International Seminar on Intelligent Technology and Its Applications, ISITIA 2025

Y2 - 23 July 2025 through 25 July 2025

ER -

Pamuji FA, Amrulloh MNF, Ashari M, Syarif MAI, Sudarmanta B , Effendi MK et al. Design and Implementation of Boost Converter for Maximum Power Point Tracking Based on Fuzzy Logic Controller in Photovoltaic System. In 26th International Seminar on Intelligent Technology and Its Applications: Fostering Equal Opportunities for Breakthrough Technology Innovations, ISITIA 2025 - Proceedings. 2025 ed. Institute of Electrical and Electronics Engineers Inc. 2025. p. 708-713 doi: 10.1109/ISITIA66279.2025.11137530

Design and Implementation of Boost Converter for Maximum Power Point Tracking Based on Fuzzy Logic Controller in Photovoltaic System

Abstract

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this