Real Time Implementation of Neuro-Fuzzy MPPT Control of PV Systems

Abstract

This paper considers comparison of dynamic performance of incremental conductance technique, fuzzy logic and neuro-fuzzy controllers to track maximum power point of photovoltaic systems. To deliver maximum power, buck-boost maximum power point tracking converter is inserted between photovoltaic generator and load for power adaptation. It is shown that neuro-fuzzy control is superior to fuzzy control and classical incremental conductance method in terms of convergence speed, tracking accuracy and stability under different operating conditions. Experimental results confirm superiority of neuro-fuzzy MPPT over conventional methods.