Fuzzy Cognitive Networks + Fuzzy Controller as a self adapting control system for Tracking Maximum Power Point of a PV-Array

In this paper the advantage of a new method is proposed, capable of extracting maximum power from photovoltaic (PV) arrays, by using a fuzzy cognitive network (FCN), which is in close cooperation with a fuzzy controller. The advantage of the presented method is that the control system can adapt to different changes that might happen during the life cycle of the PV module, such as a destroyed cell of the PV array