Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
energy
Adaptive fuzzy controller based MPPT for photovoltaic systems
Energy Conversion and Management, Volume 78, Year 2014
Notification
URL copied to clipboard!
Description
This paper presents an intelligent approach to optimize the performances of photovoltaic systems. The system consists of a PV panel, a DC-DC boost converter, a maximum power point tracker controller and a resistive load. The key idea of the proposed approach is the use of a fuzzy controller with an adaptive gain as a maximum power point tracker. The proposed controller integrates two different rule bases. The first is used to adjust the duty cycle of the boost converter as in the case of a conventional fuzzy controller while the second rule base is designed for an online adjusting of the controller's gain. The performances of the adaptive fuzzy controller are compared with those obtained using a conventional fuzzy controllers with different gains and in each case, the proposed controller outperforms its conventional counterpart. © 2013 Elsevier Ltd. All rights reserved.
Authors & Co-Authors
Guenounou, Ouahib
Algeria, Bejaia
Université Abderrahmane Mira - Béjaïa
Dahhou, Boutaïeb
France, Toulouse
Laboratoire D'analyse et D'architecture Des Systemes
France, Toulouse
Université Toulouse Iii - Paul Sabatier
Chabour, Ferhat
France, Le Havre
Greah - Groupe de Recherche en Electrotechnique et Automatique du Havre
Statistics
Citations: 151
Authors: 3
Affiliations: 4
Identifiers
Doi:
10.1016/j.enconman.2013.07.093
ISSN:
01968904