WSEAS Transactions on Systems and Control
Print ISSN: 1991-8763, E-ISSN: 2224-2856
Volume 16, 2021
Implementation of Fuzzy Logic Control based MPPT for Photovoltaic System with Silicon Carbide (SiC) Boost DC-DC Converter
Authors: ,
Abstract: In recent days, photovoltaic (PV) system is the most promising renewable energy
technologies and the PV cell has to operate at the optimum operating point to deliver maximum
power. In order to obtain maximum power from PV, a maximum power point controller is
required. This paper presents the simulation and hardware implementation of fuzzy logic (FL)
maximum power point (MPPT) controller with FPGA technology for photovoltaic system. The
MPPT algorithm is implemented for a Silicon carbide (SiC) MOSFET based boost DC-DC
converter which provides fast switching, low losses and high voltage gain. The proposed MPPT
algorithm is implemented on a SPARTAN/FPGA board platform based on the model developed
and executed in MATLAB/SIMULINK. The entire system designed and implemented to
hardware was successfully tested on a laboratory prototype PV array. The experimental results
show the effectiveness and feasibility of the proposed controller and the results were satisfactory.
Search Articles
Keywords: Photovoltaic panel, Maximum power point tracking control, Silicon carbide, Fuzzy
logic control, Field Programmable Gate Array.
Pages: 198-215
DOI: 10.37394/23203.2021.16.17