Open AccessEfficiency optimisation of a microcontroller‐based PV system employing a single sensor fuzzy‐logic controller
Author(s) -
Abdourraziq Mohamed Amine,
Abdourraziq Sarah,
Maaroufi Mohamed
Publication year - 2018
Publication title -
iet power electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.637
H-Index - 77
eISSN - 1755-4543
pISSN - 1755-4535
DOI - 10.1049/iet-pel.2017.0502
Subject(s) - microcontroller , fuzzy logic , computer science , controller (irrigation) , control engineering , fuzzy control system , control theory (sociology) , embedded system , engineering , artificial intelligence , control (management) , agronomy , biology
This study presents a particular fuzzy‐logic control (FLC) to produce the maximum power point of the photovoltaic system. The particularity of the single sensor FLC (SSFLC) method uses single current sensor and improves the drawbacks of response time and accuracy of the Perturb and Observe (P&O) method. Compared with the P&O method, the SSFLC improves the response time, precision at steady state and reduces the steady‐state oscillation. To confirm its high performance, the proposed SSFLC and P&O algorithms have been evaluated by simulation utilising MATLAB/Simulink under linear and nonlinear profiles of weather conditions. The experimental results demonstrate that the effectiveness of the SSFLC method is an average 95.8% compared to 83.3%of the P&O method.