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All Journal Mechatronics, Electrical Power, and Vehicular Technology Jurnal Teknologi Informasi dan Ilmu Komputer Frontier Energy System and Power Engineering Jurnal JEETech BEES: Bulletin of Electrical and Electronics Engineering Jurnal Fortech SinarFe7 Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Nucleus Journal Jurnal FORTECH
Dwi Ajiatmo
Department of Electrical Engineering, Universitas Darul Ulum Jombang, Jl. Presiden KH. Abdurrahman Wachid 29 A, Jombang, East Java, Indonesia.Telp. (+62321) 854106
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Transportation

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Journal : Mechatronics, Electrical Power, and Vehicular Technology

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MPPT Based on Fuzzy Logic Controller (FLC) for Photovoltaic (PV) System in Solar Car Aji, Seno; Ajiatmo, Dwi; Robandi, Imam; Suryoatmojo, Heri
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 4, No 2 (2013)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2013.v4.127-134

Abstract

This paper presents a control called Maximum Power Point Tracking (MPPT) for photovoltaic (PV) system in a solar car. The main purpose of this system is to extracts PV power maximally while keeping small losses using a simple design of converter. Working principle of MPPT based fuzzy logic controller (MPPT-FLC) is to get desirable values of reference current and voltage. MPPT-FLC compares them with the values of the PV's actual current and voltage to control duty cycle value. Then the duty cycle value is used to adjust the angle of ignition switch (MOSFET gate) on the Boost converter. The proposed method was shown through simulation performed using PSIM and MATLAB software. Simulation results show that the system is able to improve the PV power extraction efficiency significantly by approximately 98% of PV’s power.
Co-Authors Agus Raikhani, Agus Ali Fikri Haiqal, Mochamad Andi Imran Gunawan Zain, Satria Heri Suryoatmojo Hidayatul Nurohmah, Hidayatul Imam Robandi Machrus Ali Machrus Ali Malik, Fahad Abdul Muhammad Ruswandi Djalal Nafiardli, Rizqi NURUL AZIZAH Puji Astoro, Fany Wahyu Rio Firmansyah, Rio Rizal Anas, Febrian Seno Aji Siswanto, Makhaban Sunarto Sunarto Zulhajji