Maximum power point tracking for a photovoltaic water pumping system with sliding mode control and fuzzy wavelet network

Abstract

This paper presents a maximum power point tracking method (MPPT) that combines fuzzy wavelet network with sliding mode control for a photovoltaic pumping system. For the best use, the photovoltaic (PV) generator must operate at its maximum power point (MPP). SMC uses a high switching gain to cover the neglected uncertainties in the system model. However, the SMC produces chattering phenomenon due to the higher needed switching gain, in the presence of large uncertainties. In order to reduce this gain, fuzzy wavelet network (FWN) technique is used in this work to predict the unknown part of the PV pumping system model, which enables the well description of the real system.