Adaptive fuzzy controller based MPPT for photovoltaic systems

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...

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Bibliographic Details
Published in:Energy conversion and management 2014-02, Vol.78, p.843-850
Main Authors: Guenounou, Ouahib, Dahhou, Boutaib, Chabour, Ferhat
Format: Article
Language:English
Subjects:
Adaptive control systems
Automatic
Automatic Control Engineering
Computer Science
Converters
Engineering Sciences
Fuzzy control
Gain
Maximum power
On-line systems
Photovoltaic cells
Solar cells
Systems and Control
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Summary: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.
ISSN:0196-8904
DOI:10.1016/j.enconman.2013.07.093