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Research Article |

Design and Analysis of P&O and Fuzzy Logic MPPT Techniques with Boost Converter for PV Optimization

Author(s): Kutaiba Khaleel1*, Mohammed Khalaf2, and Prof. Bilal Nasir3

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 13, Issue 4

Publisher : FOREX Publication

Published : 30 December 2025

e-ISSN : 2347-470X

Page(s) : 878-885

DOI: https://doi.org/10.37391/IJEER.130428

Abstract

This paper presents a comparative analysis of the Perturb and Observe (P&O) and Fuzzy Logic Control (FLC) methods for Maximum Power Point Tracking (MPPT) in photovoltaic (PV) systems with a boost converter. Both methods were simulated with MATLAB/Simulink, and the performance was compared on the basis of parameters such as response time, overshoot, steady-state error, and Power Extracting Efficiency for different conditions standard, Variable radiation, Partial shading, variable temperature and variable load. It was observed that the P&O approach is simple to realize, yet it possesses some drawbacks and limitations like, slow response, power fluctuations, relatively high overshot and steady state error, which are accountable for system inefficiency. Nevertheless, the FLC approach presented quicker response time, lesser overshoot, and greater stability compared to the P&O and greater efficiency in tracking the MPP. These advantages position FLC as an optimum tool for maximizing the stability and performance rating of photovoltaic systems in the face of varying environmental conditions.

Keywords: MPPT, Perturb and Observe (P&O), Fuzzy Logic Control (FLC), PV, Boost Converter.




Kutaiba Khaleel*, Master Degree in Electrical Engineering Technical Institute/ Hawija, Northern Technical University, Iraq; Email: mohmdahmed-haw@ntu.edu.iq

Mohammed Khalaf, Master Degree in Electrical Engineering Technical Institute/ Hawija, Northern Technical University, Iraq; Email: engkutaibakk@ntu.edu.iq

Prof. Bilal Nasir, Ph.D. in Electrical Engineering; Professor in Electrical power systems and Machines/ Technical Institute - Hawija, Northern Technical University, Iraq; Email: bilalalnasir@ntu.edu.iq

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Kutaiba Khaleel, Mohammed Khalaf, Prof. Bilal Nasir (2025), Design and Analysis of P&O and Fuzzy Logic MPPT Techniques with Boost Converter for PV Optimization. IJEER 13(4), 878-885. DOI: 10.37391/IJEER.130428.