Development of a fuzzy logic based, photovoltaic maximum power point tracking control system using boost converter

2012 ◽  
Author(s):  
S. Vasantharaj ◽  
M. Sasikumar ◽  
G. Vinodhkumar
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Tracking Control ◽  
Maximum Power Point Tracking ◽  
Boost Converter ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Modelling and Simulation of Boost Converter with Maximum Power Point Tracking (MPPT) for Photovoltaic Application

2014 ◽  
Vol 71 (5) ◽  
Author(s):  
Ahmad Shaharuddin Mat Su, ◽  
Rasli Abd Ghani ◽  
Slamet Slamet
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Maximum Power Point Tracking ◽  
Boost Converter ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Proposed Model ◽  
Power Point

This paper presents the proposed model and simulation of a DC to DC converter with maximum power point tracking (MPPT) using fuzzy logic controller (FLC) for a standalone Photovoltaic (PV) System. This research will focus on the developing high performance DC to DC converter with fuzzy logic controller based to extract the maximum power that generated by the PV panel. The system composed of the PV array and DC-DC boost converter with MPPT system. The maximum power point tracking control is based on adaptive fuzzy logic to control ON/OFF time of IGBT switch of DC-DC boost converter. The proposed DC to DC converter is designed by using the Multisim software while the controller programme will be carried out by using the Matlab Simulink software. Pulse width modulation will be generated by the controller to trigger the IGBT gate. The performance of the proposed model is evaluated by the simulation and the result show that our proposed converter can convert more power from generated voltage. By using the fuzzy logic method to track the maximum power of the PV array, it is faster and the voltage is stable.

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