Influence of design features on the efficiency of unmanned aircraft vehicles
https://doi.org/10.21122/2309-4923-2024-3-23-34
Abstract
The paper provides an overview of various designs of unmanned aerial vehicles of the FPV drone series. Simulation modeling of the design of unmanned aerial vehicles was carried out on the elastic-deformation properties of the body. Frequency resonance analysis and thermal analysis of the design of the flying mobile robot were carried out, which made it possible to analyze the design features of the structure of the flying mobile robot and give recommendations on the selection of materials and elements to ensure the most strength characteristics.
About the Authors
S. A. Pauliukavets
Belarusian National Technical University
Belarus
Siarhei A. Pauliukavets, Candidate of Technical Sciences, Associate Professor, Associate Professor of the Department of Electric Drive and Automation of Industrial Installations and Technological Complexes
Belarus
Siarhei A. Pauliukavets, Candidate of Technical Sciences, Associate Professor, Associate Professor of the Department of Electric Drive and Automation of Industrial Installations and Technological Complexes
S. A. Velchenko
Belarusian National Technical University
Belarus
Anna A. Velchenko, Candidate of Technical Sciences, Associate Professor, Associate Professor of the Department of Electric Drive and Automation of Industrial Installations and Technological Complexes
Belarus
Anna A. Velchenko, Candidate of Technical Sciences, Associate Professor, Associate Professor of the Department of Electric Drive and Automation of Industrial Installations and Technological Complexes
A. A. Lobaty
Belarusian National Technical University
Belarus
Lobaty A.A., Doctor of Science, Professor
Belarus
Lobaty A.A., Doctor of Science, Professor
A. A. Radkevich
Belarusian National Technical University
Belarus
Artsiom A. Radkevich is a master student of the Electric drive and automation of industrial installations and technological complexes departmen
Belarus
Artsiom A. Radkevich is a master student of the Electric drive and automation of industrial installations and technological complexes departmen
P. V. Kholod
Belarusian National Technical University
Belarus
Pavel V. Kholod assistant at the Department of Robotic Systems
Belarus
Pavel V. Kholod assistant at the Department of Robotic Systems
A. P. Buivid
Belarusian National Technical University
Belarus
Anton P. Buivid is a student of the Electric drive and automation of industrial installations and technological complexes department
Belarus
Anton P. Buivid is a student of the Electric drive and automation of industrial installations and technological complexes department
References
1. Dronnews, FPV drones: definition, types, kits and self-assembly/ [Electronic resource] URL: https://dronnews.ru/fpv/kak-nauchitsya-letat-na-fpv-drone-poshagovoe-rukovodstvo-dlya-nachinayuschih. html?utm_referrer=https%3A%2F%2Fwww. bing.com%2F (access date: 08/29/2024).
2. M. Dhaybi, N. Daher, Accurate Real-time Estimation of the Inertia Tensor of Package Delivery Quadrotors, in Proceedings of the American Control Conference, AACC, 1-3 July 2020, Denver, CO, USA (2020)
3. M. Dharmadhikari, H. Nguyen, F. Mascarich, N. Khedekar, K. Alexis, Autonomous cave exploration using aerial robots, in Proceedings of International conference on unmanned aircraft systems, ICUAS, 15-18 June 2021, Athens, Greece.
4. R. Leishman, J. Macdonald, T. McLain, R. Beard, Relative navigation and control of a hexacopter, in Robotics and Automation (ICRA), 2012 IEEE International Conference, pp. 4937–4942.
5. Gabriel M. Hoffmann, Haomiao Huang, Steven L. Waslander, C. J. Tomlin, Quadrotor helicopter flight dynamics and control: Theory and experiment, Proc. of the AIAA Guidance, Navigation, and Control Conference, Vol. 2, p. 7, 2007.
6. Fogelberg J. Navigation and Autonomous Control of a Hexacopter in Indoor Environments. // MSc Thesis, Department of Automatic Control, Lund University, 2013. – ISSN 0280-5316.
7. Moussid M., Sayouti A., Medromi H. Dynamic Modeling and Control of a HexaRotor using Linear and Nonlinear Methods // International Journal of Applied Information Systems. 2015 Aug, 9-5.
8. T. Wang, R. Qin, Y. Chen, H. Snoussi "A reinforcement learning approach for UAV target searching and tracking," Multimedia Tools and Applications, v. 78, n. 4, p. 4347–4364, 2019. https://doi.org/10.1007/s11042-018-5739-5.
9. J. Songming, G. Haiyue, Z. Xiaokun, L. Dengpan "Fault Tolerant Control Algorithm of Hexarotor UAV " Journal of Robotics ,v.20, Hindawi, 2020. https://doi.org/10.1155/2020/8829329
10. S. Chaoran, S.A. Agha, M. Zaharuddin, M.H. Shaheed "Optimised Sliding Mode Control of a Hexacopter: Simulation and Experiments" Electronics ,v.11, n.16, p. 2519, 2022. https://doi.org/10.3390/electronics11162519
Review
For citations:
Pauliukavets S.A., Velchenko S.A., Lobaty A.A., Radkevich A.A., Kholod P.V., Buivid A.P. Influence of design features on the efficiency of unmanned aircraft vehicles. «System analysis and applied information science». 2024;(3):23-34. (In Russ.) https://doi.org/10.21122/2309-4923-2024-3-23-34
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