Open AccessA Step-Up Controller Based on Fuzzy Logic Strategy to be Implemented in Photovoltaic Systems
Author(s) -
Muhanad D. Almawlawe,
Muhammad Al-Badri,
Issam Hayder Alsakini
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1067/1/012134
Subject(s) - photovoltaic system , fuzzy logic , control theory (sociology) , maximum power point tracking , boost converter , voltage , controller (irrigation) , matlab , computer science , control engineering , engineering , control (management) , inverter , electrical engineering , artificial intelligence , agronomy , biology , operating system
This paper applies an artificial intelligence or fuzzy logic strategy to improve the performance of photovoltaic systems with regard to variations of I-V and P-V characteristics resulting from irradiance and temperature variations that in turn create maximum power point (MPPT) variation, resulting in fluctuation of the DC voltage at the input of the boost step converter. A fuzzy logic controller is used to regulate this output voltage that can cover a wide operating range and does not require exact mathematical modelling, thus being cheap to develop. The performance of the DC converter based on the application of the fuzzy logic strategy was tested using MATLAB/Simulink for different values of input DC voltage within the PV system. The results show a good stabilising ability during irradiation changes and smooth signal output from the converter.