Design and implementation of Type-3 intuitionistic fuzzy logic MPPT controller for PV solar system: Comparative study

Area of Science:

• Renewable Energy Systems
• Control Systems Engineering
• Artificial Intelligence in Energy

Background:

• Photovoltaic (PV) solar system performance is significantly impacted by partial shading conditions (PSC) and fluctuating environmental factors like solar irradiance and ambient temperature.
• Traditional Maximum Power Point Tracking (MPPT) techniques often exhibit limitations such as reduced stability, oscillations, and slow convergence, hindering optimal energy extraction.

Purpose of the Study:

• To introduce and evaluate a novel Interval Type-3 Intuitionistic Fuzzy Logic (T3IFL) controller for enhanced MPPT in PV systems.
• To address the drawbacks of classical MPPT methods by leveraging the combined uncertainty handling of Type-3 fuzzy logic and intuitionistic concepts.

Main Methods:

• Development of an Interval Type-3 Intuitionistic Fuzzy Logic (T3IFL) based MPPT controller.
• Integration of the T3IFL controller with a DC-DC buck converter for duty cycle regulation.
• Experimental validation using real-time hardware-in-the-loop (HIL) simulation.

Main Results:

• The T3IFL controller demonstrated superior accuracy and faster convergence to the Maximum Power Point (MPP) compared to classical techniques and Type-3 Fuzzy Logic (T3FL) controllers.
• The proposed method achieved excellent MPP tracking performance across various scenarios, including uniform radiation, step changes in solar radiation, load variations, and partial shading conditions.
• Simulation and experimental results confirmed the T3IFL algorithm's effectiveness in disturbance/uncertainty attenuation and overall response.

Conclusions:

• The Interval Type-3 Intuitionistic Fuzzy Logic (T3IFL) controller offers a significant advancement in MPPT for PV systems, outperforming existing methods.
• The T3IFL approach provides robust and efficient power extraction, even under challenging environmental and operational conditions.
• The study validates the practical applicability and enhanced performance of the T3IFL controller through rigorous HIL testing.