Smart solar tracking:Fuzzy logic and MPPT System
This paper presents an innovative smart solar tracking system integrated with a Maximum Power Point Tracking (MPPT) algorithm based on Fuzzy Logic Control (FLC). By dynamically adjusting the solar panel’s orientation throughout the day, the dual-axis tracker maximizes sunlight exposure. The novelty of this approach lies in the incorporation of fuzzy logic for both precise panel alignment and MPPT optimization, enabling real-time adjustments to changing sunlight angles and varying environmental conditions.The FLC-based MPPT ensures optimal power extraction, improving system adaptability and efficiency. Experimental results under varying weather scenarios revealed a 25% increase in energy efficiency over traditional, fixed-position solar panels, and a 15% improvement in power output compared to standard MPPT approaches like Perturb and Observe (PO). These findings highlight the potential to enhance the overall performance and efficiency of solar tracking systems.
Authors
- S.B. Abhinaya
- Sanjay Kumar (ORCID: https://orcid.org/0000-0002-8921-7542)
- R. Saranya
- P. Harini
- S Avantika.
Institutions
- SRM Institute of Science and Technology (IN)
Publication Details
- Published
- 2025-04-23
- DOI
- https://doi.org/10.1109/raeeucci63961.2025.11048348
- Primary Topic
- Solar Radiation and Photovoltaics
- Type
- article
- Field-Weighted Citation Impact
- 0.00