PROJECT TITLE :

An Enhanced MPPT Method Combining Fractional-Order and Fuzzy Logic Control - 2017

ABSTRACT:

A fractional-order fuzzy logic control (FOFLC) method for maximum power point tracking (MPPT) in a photovoltaic (PV) system is presented. By combining the robustness of fuzzy logic with the accuracy of fractional order, the proposed methodology will improve the tracking accuracy in weather variations compared with the conventional fuzzy MPPT. Initial, the fractional-order factor is rigorously selected per the dynamic range of the fuzzy controller. It takes a bigger alpha factor in the primary place to expand the fuzzy domain and shortens the time of searching for the MPP. When the maximum power point is approached, it uses a smaller the alpha issue to contract the fuzzy domain and eliminates the oscillations at the MPP. Thus, the FOFLC in a very PV system has rapid dynamic responses below environment variations and high tracking accuracy of the utmost power purpose. Second, MATLAB/Simulink software is utilized to simulate a PV power system and verify the proposed algorithm by numerous simulations. The enhanced MPPT algorithm has been implemented on a field programmable gate array (FPGA) board. Finally, a boost dc-dc converter experiment has been disbursed to guage the system performance. The simulation and experiment results show that this method can improve the transient and steady-state performance simultaneously.