Comparative study of fuzzy logic peak power trackers for a photovoltaic system

As the photovoltaic produced power is depending on weather conditions, Maximum Power Point Tracking (MPPT) controller are usually applied to extract the maximum amount of generated power. This work provides a review of MPPT controllers based on fuzzy logic concept. The studied system includes a PV panel, a DC-DC converter and a resistive load. The classical MPPT algorithms fail to track the maximum peak power point (MPP) accurately, so that fuzzy logic is introduced to reduce oscillations around the operating point as it can trace the maximum power for all the cases. Three fuzzy Logic Controllers (FLC) are developed using different types, Mamdani and Takagi-Sugeno (T-S), and different input and output signals. The proposed algorithms are tested under dissimilar atmospheric conditions and compared to a conventional MPPT technique, Perturb and Observe. FLCs provide quick reaction to the weather conditions variation and decreased fluctuations around the MPP.