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

Authors :: Athanassios D. Karlis
Theodoros L. Kottas
Yiannis S. Boutalis
Source :: IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics.
Publication Year :: 2006
Publisher :: IEEE, 2006.
Abstract: 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.

Subjects :: Engineering
Adaptive control
Control theory
business.industry
Control system
Photovoltaic system
Control engineering
Fuzzy control system
Cognitive network
business
Fuzzy logic
Maximum power point tracking

ISSN :: 1553572X
Database :: OpenAIRE
Journal :: IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics
Accession number :: edsair.doi...........fbf75e134a19d2c988cc2d38ba8fddc6
Full Text :: https://doi.org/10.1109/iecon.2006.347483

Full Text Access

Tools