|An Improvement of a Fuzzy Logic-Controlled Maximum Power Point Tracking Algorithm for Photovoltic Applications|
|Title of paper||An Improvement of a Fuzzy Logic-Controlled Maximum Power Point Tracking Algorithm for Photovoltic Applications|
|Author||Woonki Na, Pengyuan Chen and Jonghoon Kim|
|Status of publication||published|
This paper presents an improved maximum power point tracking (MPPT) algorithm using
a fuzzy logic controller (FLC) in order to extract potential maximum power from photovoltaic cells.
The objectives of the proposed algorithm are to improve the tracking speed, and to simultaneously
solve the inherent drawbacks such as slow tracking in the conventional perturb and observe (P and
O) algorithm. The performances of the conventional P and O algorithm and the proposed algorithm
are compared by using MATLAB/Simulink in terms of the tracking speed and steady-state
oscillations. Additionally, both algorithms were experimentally validated through a digital signal
processor (DSP)-based controlled-boost DC-DC converter. The experimental results show that the
proposed algorithm performs with a shorter tracking time, smaller output power oscillation, and
higher efficiency, compared with the conventional P and O algorithm.