Title: Implementation and validation of fuzzy logic based maximum power point tracking with Cuk converter for PV applications

Authors: Veeranna Gangavath; Vemulapalli Harika; Gudavalli Madhavi; Kambampati Lakshmi; Viswanadhapalli Nagababu; Mohammed Azahar Ahmed

Addresses: Department of EEE, SRKR Engineering College, Bhimavaram, India ' Department of EEE, Prasad V Potluri Siddhartha Institute of Technology, Vijayawada, India ' Department of EEE, Prasad V Potluri Siddhartha Institute of Technology, Vijayawada, India ' Department of EEE, Aditya University, Surampalem, India ' Department of EEE, Seshadri Rao Gudlavalleru Engineering College, Gudlavalleru, India ' Department of EEE, SRKR Engineering College, Bhimavaram, India

Abstract: This paper develops maximum power point tracking (MPPT) using fuzzy logic control (FLC) and a Cuk converter to improve photovoltaic (PV) system efficiency. The suggested system dynamically adjusts the converter's duty cycle to maximise PV panel power extraction in variable irradiance and temperature. Comparing FLC-based MPPT to classic perturb and observe (P&O) shows its superiority in tracking accuracy, response speed, and durability, especially in quickly changing situations. FLC computes duty cycle modifications using error and change-in-error inputs to minimise oscillation near the maximum power point. MATLAB/Simulink simulations and PIC microcontroller hardware implementation verify real-time adaptability and operational efficacy. The experimental results show that FLC reduces power loss compared to standard methods, boosting renewable energy system outputs.

Keywords: PV systems; fuzzy logic control; FLC; maximum power point tracking; MPPT; Cuk converter; hardware implementation.

DOI: 10.1504/IJPT.2026.154601

International Journal of Powertrains, 2026 Vol.15 No.2, pp.107 - 120

Received: 24 Sep 2025
Accepted: 03 Dec 2025
Published online: 07 Jul 2026 *

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