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Comparison of the performance of MPPT control techniques (Fuzzy Logic, Incremental Conductance and Perturb & Observe) under MATLAB/Simulink

Naoufal Zhani, Hassane Mahmoudi

2024IFAC-PapersOnLine11 citationsDOIOpen Access PDF

Abstract

The non-linear output of a photovoltaic (PV) panel under different irradiance and temperature values poses a challenge for the design of maximum power point trackers (MPPT). This paper presents a comparative study between three MPPT control techniques, one based on an artificial intelligence approach "Fuzzy Logic" and the other two based on conventional techniques "Incremental Conductance" and "Perturb & Observe" on the same photovoltaic system with the same static DC-DC converter of "Boost" type. Through this comparative study, insights into the effectiveness and performance differences among these control techniques are provided. A behavioral analysis of the three systems in terms of speed, accuracy, and stability has been established through a simulation under MATLAB/Simulink.

Topics & Concepts

MATLABControl theory (sociology)Fuzzy logicConductanceComputer scienceMaximum power point trackingControl (management)Control engineeringPhysicsArtificial intelligencePower (physics)EngineeringThermodynamicsCondensed matter physicsProgramming languageInverterPhotovoltaic System Optimization TechniquesSolar Radiation and PhotovoltaicsAdvanced Battery Technologies Research
Comparison of the performance of MPPT control techniques (Fuzzy Logic, Incremental Conductance and Perturb & Observe) under MATLAB/Simulink | Litcius