An Auxiliary Power System Based on Solar Photovoltaic for Enhanced Unmanned Aerial Vehicle Remote-Controlled Aircraft Endurance

Document Type : Research Article

Authors
Haura Haider Abdul Redha 1
Ahmed Hameed Reja 2
Ahmed Adnan Shandookh 3
1 College of Electromechanical Engineering ,University of Technology-Iraq, Al-Wehda neighborhood ,Baghdad, Iraq
2 College of Electromechanical Engineering, University of Technology-Iraq, Al-Wehda neighborhood, Baghdad, Iraq
3 College of Mechanical Engineering, University of Technology-Iraq, Al-Wehda neighborhood, Baghdad, Iraq
10.22059/jser.2025.398475.1596
Abstract
This research outlines the design, simulation, and structural evaluation of a solar-assisted power augmentation system integrated into an unmanned aerial vehicle (UAV) made of expanded polypropylene (EPP) foam. The system consists of two 1.5 W rigid monocrystalline solar panels mounted on the wings and an 18 W flexible panel mounted below the fuselage, which increased the UAV’s weight from 170 g to 840 g. Aerodynamic performance was assessed using computational fluid dynamics (CFD) simulations in ANSYS Fluent over a sweep of angles of attack (–6° to 12°) at speeds of 10 m/s and 30 m/s. The results showed lift augmentation of over 300% with significant drag reduction. Structural simulations in ANSYS Mechanical using pressure loads from CFD results confirmed that the maximum principal stress and von Mises strain were kept within 70% of the material limits of the EPP foam. The most effective operating range was found to be between 3° and 9° AoA for low-speed flight and between 0° and 6° AoA for high-speed flight. This study confirms the feasibility of integrating monocrystalline solar modules into lightweight UAVs as a viable method of drastically extending flight endurance without sacrificing aerodynamic or structural integrity.
Keywords
UAV
Solar‐Power Augmentation
CFD
ANSYS Fluent
Static Structural Analysis
EPP‐Foam
  1. Al-Haddad, L. A., Jaber, A. A., Neranon, P., & Al-Haddad, S. A. (2023). Investigation of frequency-domain-based vibration signal analysis for UAV unbalance fault classification. Engineering and Technology Journal, 41(7), 915–923. https://doi.org/10.30684/etj.2023.137412.1348
  2. Mhmood, A. H., & Ali, H. I. (2021). Optimal H-infinity PID model reference controller design for roll control of a tail-sitter VTOL UAV. Engineering and Technology Journal, 39(4A), 552–564. https://doi.org/10.30684/etj.2021.168134
  3. Idan, H. A., Kadhom, H. K., & Faraj, S. R. (2024). Performance enhancement of PV panels by a channel shaped heat exchanger with an electromechanical control. Engineering and Technology Journal, 42(7), 818–832. https://doi.org/10.30684/etj.2024.143283.1575
  4. Zelenika, S., Hadas, Z., Bader, S., Becker, T., Gljuščić, P., Hlinka, J., et al. (2020). Energy harvesting technologies for structural health monitoring of airplane components—A review. Sensors, 20(22), 6685. https://doi.org/10.3390/s20226685
  5. Meng, W., Zhang, X., Zhou, L., Guo, H., & Hu, X. (2025). Advances in UAV path planning: A comprehensive review of methods, challenges, and future directions. Drones, 9(5), 376. https://doi.org/10.3390/drones9050376
  6. Hasan, I. A., Mohammed, M. J., & Lafta, F. A. (2020). Intelligent Nero modelling methods for PV panel system. IOP Conference Series: Materials Science and Engineering, 765(1), 012044. https://doi.org/10.1088/1757-899X/765/1/012044
  7. Lafta, F. A., Hasan, I. A., & Mohammed, M. J. (2021). PID-PSO controller for PV panel system identification models on ANFIS and NN-NARX system. Journal of Engineering Science and Technology, 16(6), 4505–4517. https://doi.org/10.37934/jestech.16.6.45054517
  8. Khaleel, F. M., Hasan, I. A., & Mohammed, M. J. (2022). PV panel system modelling method based on neural network. AIP Conference Proceedings, 2386(1), 040029. https://doi.org/10.1063/5.0066820
  9. Yang, Z., Xu, W., & Shikh-Bahaei, M. (2020). Energy efficient UAV communication with energy harvesting. IEEE Transactions on Vehicular Technology, 69(2), 1913–1927. https://doi.org/10.1109/TVT.2019.2955291
  10. İlhan, C., & Çalık, Z. (2024). Solar-powered UAV: A novel approach to conceptual design. Konya Journal of Engineering Science, 12(2), 396–409. https://doi.org/10.36306/konjes.1402465
  11. Jang, Y., & Lee, H. (2022). Design and flight test of a solar-powered UAV with integrated PV wing structure. Renewable Energy, 183, 1025–1036. https://doi.org/10.1016/j.renene.2021.11.120
  12. Chen, X., Li, W., Zhang, T., & Zhou, Y. (2023). Multi-physics modeling of solar UAVs: Aerodynamic, structural, and energy perspectives. Aerospace Science and Technology, 137, 107478. https://doi.org/10.1016/j.ast.2023.107478
  13. Pruthviraj, U., Kashyap, Y., Baxevanaki, E., & Kosmopoulos, P. (2023). Solar photovoltaic hotspot inspection using unmanned aerial vehicle thermal images at a solar field in South India. Remote Sensing, 15(3), 6685. https://doi.org/10.3390/rs15236685
  14. Abdulmajeed, O. M., Jadallah, A. A., Bilal, G. A., & Arıcı, M. (2024). Performance evaluation of an integrated bi-fluid PV/T system for heating and power generation. AIP Conference Proceedings, 2885(1), 20005. https://doi.org/10.1063/5.0182249
  15. Bardera, R., Rodríguez-Sevillano, Á. A., Barroso Barderas, E., & Matias Garcia, J. C. (2024). Computational study of aerodynamic effects of the dihedral and angle of attack of biomimetic grids installed on a mini UAV. Biomimetics, 9(1), 12. https://doi.org/10.3390/biomimetics9010012
  16. Gemayel, A., Manias, D. M., & Shami, A. (2025). Network resource optimization for ML-based UAV condition monitoring with vibration analysis. IEEE Networking Letters, 1(1), 1–5. https://doi.org/10.1109/NETL.2025.000010
  17. Chu, Y., Ho, C., Lee, Y., & Li, B. (2021). Development of a solar-powered unmanned aerial vehicle for extended flight endurance. Drones, 5(1), 1–14. https://doi.org/10.3390/drones5010001
Journal of Solar Energy Research
Volume 10, Issue 1
Winter 2025
Pages 2223-2233