The FPGA-Based Design of an Optimal Fuzzy Logic Controller for Hybrid Renewable Energy Systems

Mazhar Baloch; Ayaz Ahmed Jumani; Ali Asghar Memon; Abdul Manan Shaikh; Zeeshan Anjum Memon

doi:10.48084/etasr.12538

Authors

Mazhar Baloch Department of Electrical Engineering and Computer Science, A' Sharqiyah University, Ibra, Oman | Department of Electrical Engineering, Mehran University of Engineering and Technology, SZAB Campus, Khairpur Mir's, Pakistan
Ayaz Ahmed Jumani Department of Electrical Engineering, Mehran University of Engineering and Technology, SZAB Campus, Khairpur Mir's, Pakistan | Aror University of Art, Architecture, Design and Heritage, Sukkur, Pakistan
Ali Asghar Memon Department of Electrical Engineering, Mehran University of Engineering and Technology, Jamshoro, Pakistan
Abdul Manan Shaikh Department of Electrical Engineering and Computer Science, A' Sharqiyah University, Ibra, Oman
Zeeshan Anjum Memon Department of Electrical Engineering, Mehran University of Engineering and Technology, Khairpur Mirs, Pakistan

Volume: 15 | Issue: 6 | Pages: 28420-28426 | December 2025 | https://doi.org/10.48084/etasr.12538

Received: 3 June 2025 | Revised: 14 July 2025, 13 August 2025, 21 August 2025, and 7 September 2025 | Accepted: 9 September 2025 | Online: 20 October 2025

Corresponding author: Mazhar Baloch

Abstract

The fast-growing energy requirements and the decreasing availability of conventional fossil fuels require new sustainable alternatives for energy production. Among sustainable resources, solar and wind are the most mature and widely used technologies, and integrating both results in a higher availability of energy during the day. However, previous studies indicate that the existing controllers in hybrid solar and wind systems are less efficient and take longer to achieve steady state conditions. In contrast to existing models, the proposed solar and wind system integrates FLC and MPPT and results in higher efficiency and relatively fewer response times to achieve steady state conditions. The proposed method includes the implementation of an integrated MPPT-FLC-based FPGA to obtain the maximum power from hybrid systems. The proposed system demonstrates better stability performance and faster convergence speed than conventional control. MATLAB/Simulink was employed for modelling purposes, along with an Xilinx system for hardware implementation. The experimental results show a superior MPPT efficiency and better response time (5%). The proposed system is aimed at utility companies in Pakistan for meeting the increasing load demands in a sustainable manner.

Keywords:

wind power energy, solar power energy, maximum power point tracker, FLC, PMSG, FPGA, XSG

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