Design and Implementation of Intelligent MPPT Based on FPGA for PV System

• Published in: IOP conference series. Materials Science and Engineering Vol. 881; no. 1; pp. 12138 - 12155
• Main Authors: Mahmood, Mohanad H., Ali, Inaam I., Ahmed, Oday A.
• Format: Journal Article
• Language: English
• Published: IOP Publishing 01.07.2020
• ISSN: 1757-8981; 1757-899X
• DOI: 10.1088/1757-899X/881/1/012138

This paper presents the design and implementation of intelligent maximum power point tracking (MPPT) technique for Photovoltaic (PV) systems. The proposed MPPT is based on the fuzzy logic controller (FLC). FLCs have the benefit of being very easy to design as they don't need accurate knowledge of the system and work well for the nonlinear system. The MATLAB/Simulink was used to verify the proposed method, with three scenarios of environment conditions. The DC-DC converter has been designed and simulated using PLECS simulation software, then implemented practically in order to work as impedance matching between PV source and load. The system was built based on Field Programmable Gate Array (FPGA) and connected to the PV panel and tested practically at the site for different environment conditions and compared with measurements obtained using solar analyzer device. According to the simulated and experimental results, the proposed method capable to find the maximum power point (MPP) under different climate conditions excellently with compared to perturb and observation (P&O) method. Also, it has very low oscillation about (MPP) and high response, as a result, efficiency is enhanced, providing maximum power transfer to load.