Comparison between proposed fuzzy logic and ANFIS for MPPT control for photovoltaic system

Lotfi Farah (University Badji Mokhtar Annaba)
Adel Haddouche (University LarbitebessiTebessa)
Ali Haddouche (University Badji Mokhtar Annaba)

International Journal of Power Electronics and Drive Systems (IJPEDS)
Vol 11, No 2: June 2020

In this paper, a maximum power point tracking (MPPT) algorithm for photovoltaic (PV) systems is achieved based on fuzzy logic controller (FLC) and compared with an anfis (neuro-fuzzy) based mppt controller, this method allies the abilities of artificial neural networks in learning and the power of fuzzy logic to handle imprecise data. Both methods are simulated using matlab/ simulink. The choise of power variation and the current variation as inputs of the proposed controllersreducesthe calculation. Both FLC and ANFIS based MPPTare tested in terms of steady state performance and the pv system dynamic.