Comparative study between two intelligent MPPT-controllers implemented on FPGA: application for photovoltaic systems

International Journal of Sustainable Energy

Volumn 33, Issue 3, 2014, Pages 483-499

  Chekired, F ^a,b   Larbes, C ^a   Mellit, A ^c,d  

^a ECOLE NATIONALE POLYTECHNIQUE   (Algeria)

^b CENTRE DE DÉVELOPPEMENT DES ENERGIES RENOUVELABLES   (Algeria)

^c UNIVERSITY OF JIJEL   (Algeria)

^d ABDUS SALAM INTERNATIONAL CENTRE FOR THEORETICAL PHYSICS   (Italy)

Author keywords

control; FPGA; fuzzy logic; MPPT; neuro fuzzy; photovoltaic

Indexed keywords

ATMOSPHERIC CONDITIONS; FUZZY LOGIC CONTROLLERS; MAXIMUM POWER POINT TRACKING CONTROLLER (MPPT); MPPT; NEURO-FUZZY; NEURO-FUZZY CONTROLLER; PHOTOVOLTAIC; PHOTOVOLTAIC SYSTEMS;

COMPUTER HARDWARE DESCRIPTION LANGUAGES; CONTROL; FIELD PROGRAMMABLE GATE ARRAYS (FPGA); FUZZY LOGIC; PHOTOVOLTAIC CELLS;

CONTROLLERS;

ARTIFICIAL NEURAL NETWORK; CONTROL SYSTEM; FUZZY MATHEMATICS; PHOTOVOLTAIC SYSTEM;

EID: 84893751445     PISSN: 14786451     EISSN: 1478646X     Source Type: Journal    
DOI: 10.1080/14786451.2012.742896     Document Type: Article

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