Analysis of adaptive perturb and observe-fuzzy logic control maximum power point tracking for photovoltaic boost DC-DC converter

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Abstract

This paper presents the modelling and simulation of MPPT algorithm which used the Adaptive perturb and observe-fuzzy logic control method with different membership functions. This study will investigate which levels of membership functions has the highest performance in the MPPT algorithm itself. MATLAB/Simulink was used for simulation studies. The boost dc-dc converter was built in all the simulation where the pulse width modulation (PWM) is regulated according to the duty cycle from the MPPT algorithm. The complete standalone PV system consists of perturb and observe (P&O), Adaptive P&O-FLC with 4, 5 and 7 membership functions. The different membership functions were used to test and investigate the comparison and effectiveness of the proposed MPPT algorithm in a PV system. Adaptive P&O-FLC with 5 membership functions show the best performances as compare to the Adaptive P&O-FLC with 4 membership functions and Adaptive P&O-FLC with 7 membership functions especially in term of overshoot and time response.

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APA

Zainuri, M. A. A. M., Azari, E. A., Ibrahim, A. A., Ayob, A., Yusof, Y., & Radzi, M. A. M. (2019). Analysis of adaptive perturb and observe-fuzzy logic control maximum power point tracking for photovoltaic boost DC-DC converter. International Journal of Advanced Trends in Computer Science and Engineering, 8(1.6 Special Issue), 201–210. https://doi.org/10.30534/ijatcse/2019/3181.62019

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