Elements overview and a commercial uav electric drive model
- Details
- Parent Category: 2025
- Category: Content №6 2025
- Created on 25 December 2025
- Last Updated on 25 December 2025
- Published on 30 November -0001
- Written by L. Mazurenko, V. Grebenikov, O. Dzhura
- Hits: 892
Authors:
L. Mazurenko, orcid.org/0000-0002-7059-249X, Institute of Electrodynamics of the National Academy of Sciences of Ukraine, Kyiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
V. Grebenikov, orcid.org/0000-0002-1114-1218, Institute of Electrodynamics of the National Academy of Sciences of Ukraine, Kyiv, Ukraine, е-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
O. Dzhura*, orcid.org/0000-0002-0224-3351, Institute of Electrodynamics of the National Academy of Sciences of Ukraine, Kyiv, Ukraine, е-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2025, (6): 112 - 118
https://doi.org/10.33271/nvngu/2025-6/112
Abstract:
In recent years, there has been an accelerated development of technologies and an expansion of the application area of unmanned aerial vehicles. Accordingly, scientists need to consider current trends in development of unmanned aerial vehicles and the current state of research.
Purpose. Review of the main elements of unmanned aerial vehicle drives. Development of a simplified mathematical model of a helicopter-type unmanned aerial vehicle electric drive for assessing the energy consumption and capacity of the unmanned aerial vehicle battery.
Methodology. The proposed model is based on the rotor motion equations of the motors and the fan load equations. It was assumed that all electric drives operate under a cyclic load repeated periodically and defined by the time relations of motor torque reference during the operating cycle.
Findings. Based on the motion equations, torque (frequency) controller equations, and load equations, a simplified mathematical model of a multi-rotor unmanned aerial vehicle drive was synthesized. The developed mathematical model of the unmanned aerial vehicle electric drive was verified using the created simulation model. Transients for torque and speed were obtained and compared for two torque control algorithms.
Originality. The developed “inertial” mathematical model of the electric drive of a multi-rotor unmanned aerial vehicle, compared to the known models, operates with fewer parameters and variables, which speeds up calculations. The developed model takes into account the equations of torque (frequency) controllers of electric drives. Accordingly, this allows computing long-term processes using different control algorithms.
Practical value. The review materials presented in this article may be useful for technical specialists who are starting to work in the field of unmanned aerial vehicle design and development. The developed mathematical model allows evaluating the approximate capacity of the battery for arbitrary motor reference torque schedules, arbitrary battery voltage reference, and the required maximum flight duration.
Keywords: electric drive, unmanned aerial vehicle, mathematical model, motion equation
References.
1. Hung, J. Y., & Gonzalez, L.F. (2012). On parallel hybrid-electric propulsion system for unmanned aerial vehicles. Progress in Aerospace Sciences, 51, 1-17. https://doi.org/10.1016/j.paerosci.2011.12.001
2. Wachłaczenko, M. (2025). Hybrid Electric Propulsion System Digital Twin for Multi-Rotor Unmanned Aerial Vehicles. Sustainability, 17, 4901. https://doi.org/10.3390/su17114901
3. Tachinina, O., Lysenko, A., & Kutiepov, V. (2022). Classification of Modern Unmanned Aerial Vehicles. Electronics and Control Systems, 4, 79-86. https://doi.org/10.18372/1990-5548.74.17354
4. Rabiu, L., Ahmad, A., & Gohari, A. (2024). Advancements of Unmanned Aerial Vehicle Technology in the Realm of Applied Sciences and Engineering: A Review. Journal of Advanced Research in Applied Sciences and Engineering Technology, 40, 74-95. https://doi.org/10.37934/araset.40.2.7495
5. Zhu, K., Quan, Q., Tang, D., Dong, Y., Wang, K., Tang, B., Wu, Q., & Deng, Z. (2024). A Mars quadcopter capable of autonomous flight and sample collection: Structure and avionics. Acta Astronautica, 214, 712-721. https://doi.org/10.1016/j.actaastro.2023.11.034
6. Solís, R., Torres, L., & Pérez, P. (2023). Review of Methods for Diagnosing Faults in the Stators of BLDC Motors. Processes, 11(1), 82. https://doi.org/10.3390/pr11010082
7. Mohanraj, D., Aruldavid, R., Verma, R., Sathyasekar, K., Barnawi, A.B., Chokkalingam, B., & Mihet-Popa, L. (2022). A Review of BLDC Motor: State of Art, Advanced Control Techniques, and Applications. IEEE Access, 10, 54833-54869. https://doi.org/10.1109/ACCESS.2022.3175011
8. Electric motors for drones market size and forecast (2025). Retrieved from https://www.verifiedmarketresearch.com/product/electric-motors-for-drones-market/
9. Çabuk, A. S. (2021). Sensorless Control of Outer Rotor Brushless DC Motor With Back-EMF Observer for Drone. Balkan Journal of Electrical and Computer Engineering, 9(4), 379-385. https://doi.org/10.17694/bajece.958760
10. Hafeez, S., Khan, A. R., Al-Quraan, M. M., Mohjazi, L., Zoha, A., Imran, M. A., & Yao, S. (2023). Blockchain-Assisted UAV Communication Systems: A Comprehensive Survey. IEEE Open Journal of Vehicular Technology, 4, 558-580. https://doi.org/10.1109/OJVT.2023.3295208
11. Yadav, M., Jandhyala, K. L. K., Rajesh, S., & Dalal, A. (2025). Axial Flux Permanent magnet motor for Drone Application. 2025 International Conference on Power Electronics Converters for Transportation and Energy Applications (PECTEA), 1-6. Jatni, India. https://doi.org/10.1109/PECTEA61788.2025.11076542
12. Grebenikov, V. V., & Gamaliia, R. V. (2019) Comparative Analysis of Two Types of Generators with Permanent Magnets for Wind Turbine. 2019 IEEE International Conference on Modern Electrical and Energy Systems (MEES), Kremenchuk, Ukraine, 126-129. https://doi.org/10.1109/MEES.2019.8896375
13. Kurt, E., Arabul, A. Y., Keskin Arabul, F., & Senol, I. (2024). A Multi-Phase Brushless Direct Current Motor Design and Its Implementation in Medium-Altitude Long-Endurance Unmanned Aerial Vehicles. Applied Sciences, 14(24), 11550. https://doi.org/10.3390/app142411550
14. Kurniawan, J. L., Setiawarman, B. B., Prisetya, D. A., Cahyo W, R. A., & Jenie, Y. I. (2022). Analysis and Simulation of Axial Flux Permanent Magnet Synchronous Motor for Hybrid UAV Propulsion. 2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES),1-7. Yogyakarta, Indonesia. https://doi.org/10.1109/ICARES56907.2022.9993611
15. Huang, Z. (2024). Integrative Study on Combining Drones with Inverters. Highlights in Science. Engineering and Technology, 103, 237-245. https://doi.org/10.54097/2jb4dn70
16. Alemi Rostami, M., & Kerdarshad, H. A. (2023). Reliability Assessment of Conventional Three-Level Inverters for Use in Hybrid Unmanned Aerial Vehicles. International Journal of Reliability, Risk and Safety: Theory and Application, 6(1), 97-109. https://doi.org/10.22034/IJRRS.2023.6.1.11
17. Unnia, F. (2023). GaN Motor Drive Inverter Advances in UAV Drones for Ag Apps. Retrieved from https://eepower.com/technical-articles/wide-bandgap-advancements-in-gan-motor-drive-inverters-revolutionize-uav-drones-for-agricultural-applications/#
18. Przeniosło, Ł., & Hołub, M. (2018). Efficient electronic speed controller algorithm for multirotor flying vehicles. 2018 Innovative Materials and Technologies in Electrical Engineering (i-MITEL), 1-6. Sulecin, Poland. https://doi.org/10.1109/IMITEL.2018.8370482
19. Wang J., Huang, X., Zhao, S., & Fang, Y. (2017). Direct torque control for brushless DC motors in aerospace applications with single sided matrix converters with reduced torque ripple. IECON 2017 ‒ 43 rd Annual Conference of the IEEE Industrial Electronics Society, 4143-4149. Beijing, China. https://doi.org/10.1109/IECON.2017.8216710
20. Rao, G., Prasanna, B., Rayudu, K., Kondaiah, V., Thrinath, B., & Gopal, T. (2024). Performance evaluation of BLDC motor drive mounted in aerial vehicle (drone) using adaptive neuro-fuzzy. International Journal of Power Electronics and Drive Systems (IJPEDS), 15(2), 733-743. https://doi.org/10.11591/ijpeds.v15.i2.pp733-743
21. Townsend, A., Jiya, I. N., Martinson, C., Bessarabov, D., & Gouws, R. A. (2020). Comprehensive Review of Energy Sources for Unmanned Aerial Vehicles, Their Shortfalls and Opportunities for Improvements. Heliyon, 6, 11. https://doi.org/10.1016/j.heliyon.2020.e05285
22. Corcau, J.-I., Dinca, L., Cucu, A.-A., & Condrea, D. (2025). Drone Electric Propulsion System with Hybrid Power Source. Drones, 9, 301. https://doi.org/10.3390/drones9040301
23. Ali Khan, M. (2024). A Review of Analysis and Existing Simulation Model of Three Phase Permanent Magnet Synchronous Motor Drive (PMSM). Control Systems and Optimization Letters, 2(3), 349-356. https://doi.org/10.59247/csol.v2i3.151
24. Agoro, S., & Husain, I. (2023). High-Fidelity Nonlinear Modeling of an Asymmetrical Dual Three-Phase PMSM. 2023 IEEE International Electric Machines & Drives Conference (IEMDC), 1-7. San Francisco, USA. https://doi.org/10.1109/IEMDC55163.2023.10238985
25. Kang, J. -b., Lee, J. -H., Kim, H. -J., & Lee, J. -Y. (2024). Multi-physics Analysis and Optimal Design of an Outer Rotor Surface Mounted Permanent Magnet Synchronous Motor for Coaxial Drone. 2024 IEEE 21 st Biennial Conference on Electromagnetic Field Computation (CEFC), Jeju, Republic of Korea, 1-2. https://doi.org/10.1109/CEFC61729.2024.10585667
26. Vaskovsky, Yu. M., & Nesterenko, D. S. (2024). Comparative analysis of small size high-speed synchronous magnetoelectric motors. Tekhnichna Elektrodynamika, 3, 41-46. https://doi.org/10.15407/techned2024.03.041
27. Surya, S., & Arjun, M. N. (2021). Mathematical Modeling of Power Electronic Converters. SN Computer Science, 2, 267. https://doi.org/10.1007/s42979-021-00637-1
28. Alshawish, A. M., Mohamed Wafa, O., & Abushaiba, A. A. (2022). Sensorless Control for Permanent Magnet Synchronous Motor (PMSM) Using the Mechanical Model of the Motor with a Reduced Order Observer. 2022 IEEE Kansas Power and Energy Conference (KPEC), 1-4. Manhattan, KS, USA. https://doi.org/10.1109/KPEC54747.2022.9814767
29. Krause, P. C., Wasynczuk, O., Sudhoff, S. D., & Pekarek, S. (2025). Analysis of Electric Machinery and Drive Systems, 4 th ed. Canada: Wiley-IEEE. https://doi.org/10.1002/9781394293896
30. Akimov, L. V., Kotlyarov, V. O., & Litvinenko, D. J. (2011). Dynamic parameters of asynchronous motors of variable-frequency electric drives. Electrical engineering & Electromechanic, 3, 10-14.
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