Development and Control of High-Gain Triple Winding Max Gain BOOST Converter with Intelligent Walrus-RBFFIS MPPT for Photovoltaic Applications

Viswanatha Rao, J; Sundar, R; Satheesh Kumar, G. S.; Martin, G. W.

doi:10.22060/eej.2026.24306.5679

Development and Control of High-Gain Triple Winding Max Gain BOOST Converter with Intelligent Walrus-RBFFIS MPPT for Photovoltaic Applications

Articles in Press

Document Type : Research Article

Authors

J Viswanatha Rao ¹

R Sundar ²

G. S. Satheesh Kumar ³

G. W. Martin ⁴

¹ Department of Electrical and Electronics Engineering, VNR Vignana Jyothi Institute of Engineering & Technology, Hyderabad, India

² Associate Professor, Department of Marine Engineering, AMET Deemed to be University, India

³ Associate Professor, Department of Electrical and Electronics Engineering, Erode Sengunthar Engineering College, Perundurai – 638057, India

⁴ Professor, Department of Electrical and Electronics Engineering, Marthandam College of Engineering and Technology, Tamilnadu-629177, India

10.22060/eej.2026.24306.5679

Abstract

Currently, the combination of Renewable Energy Sources (RES), particularly Photovoltaic (PV) systems, into power networks has grown in importance for sustainable energy generation. Therefore, this research develops the control approach for a high gain Triple Winding Max Gain Boost (TWMGB) converter incorporated with a Maximum Power Point Tracking (MPPT) controller for PV systems. The developed converter exploits a triple winding inductor structure to attain an improved voltage gain, making it appropriate for low voltage PV system needs effective step-up capability. An innovative MPPT control approach based on Walrus Optimization Algorithm (WOA) tuned Radial Basis Function Fuzzy Inference System (RBFFIS) is utilized to extract the upmost power from the PV array in dynamic ecological conditons. It assures fast convergence to the globalMPP and enahnces tracking accuracy even in partial shading scenarios. Moreover, the coordinated interaction among the TWMGB converter and adaptive control approach assures better performance interms of diminshed voltage stress and ripple. The performance of a system is applied via MATLAB/Simulink tool, demonstrating its adaptability and robustness with converter efficacy of 97.61%. The developed system offers a consistent and scalable solution for advanced PV based power systems, contributing to sustainable energy conversion and utilization.

Keywords

PV system

TWMGB converter

WOA

RBFFIS MPPT

Subjects