Abstract




 
   

IJE TRANSACTIONS A: Basics Vol. 31, No. 4 (April 2018) 284-291    Article in Press

PDF URL: http://www.ije.ir/Vol31/No4/A/13.pdf  
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  A NEW MODELING AND IMPLEMENTATION OF MAXIMUM POWER POINT TRACKING FUZZY LOGIC ALGORITHM FOR SOLAR PHOTOVOLTAIC SYSTEM
 
T. Boutabba
 
( Received: June 20, 2017 – Accepted: January 04, 2018 )
 
 

Abstract    This paper, we present a modeling and implementation of new control schemes for an isolated photovoltaic (PV) using a fuzzy logic controller (FLC). The PV system is connected to a load through a DC / DC booster (boost) converter. The FLC controller provides the appropriate duty cycle (D) to the DC / DC converter for the PV system to generate maximum power. Using FLC Controller block in Simulink/Matlab environment simplify its implementation. However, all the parameters of the FLC blocks are not accessible and can’t be modified without redesign it each time, causing the loss of considerable time to control our system. To avoid these drawbacks and to simplify both the access and the plot of all blocks, a modelisation of FLC membership’s functions became a necessity. The Simulation and experimental tests on a PV system shows that the FLC provides a good track the maximum power point (MPP). Finally, we have evaluated the operation of the FLC on a real system consisting of a photovoltaic panel (BP580) model and implement the control strategy on a digital signal processor dSPACE DS1104.

 

Keywords    Photovoltaic, dc-dc converter, boost, modelisation, fuzzy logic ;

 

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