Maximum power point tracking using integrated neuro fuzzy algorithm in PV system with full bridge ZVS converter for battery charger applications

This paper proposes an integrated neuro fuzzy system (INFS) to interface and deliver maximum power from a PV system for battery charging. The full bridge dc/dc converter is used to interface between the PV output and the load. Full bridge ZVS DC/DC converter reduces the switching losses, voltage and current stress of the switching device. The performance of the system is evaluated using proposed controller and compared with the other MPPT algorithm i.e. P&O and fuzzy based approach. With this combination of the system i.e. soft switched dc/dc converter and INFS MPPT algorithm, high efficiency can be easily attained.