Reducing energy consumption of vertical take-off and landing unmanned aerial vehicle using hybrid technical solutions
- Autores: Lukyanov O.E.1, Hoang V.H.1, Komarov V.A.1, Nazarov D.V.1, Kurkin E.I.1, Quijada Pioquinto J.G.1, Chertykovtseva V.O.1
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Afiliações:
- Samara National Research University
- Edição: Volume 23, Nº 1 (2024)
- Páginas: 38-54
- Seção: AIRCRAFT AND SPACE ROCKET ENGINEERING
- URL: https://journal-vniispk.ru/2542-0453/article/view/311445
- DOI: https://doi.org/10.18287/2541-7533-2024-23-1-38-54
- ID: 311445
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Resumo
The paper describes possibilities of increasing the energy efficiency and reducing the takeoff weight of unmanned medium-heavy vertical takeoff and landing aerial vehicles of the airplane type. The authors propose a new hybrid type of unmanned aerial vehicle with a hybrid propulsion system, its aerodynamic design, method of realization of vertical takeoff/landing and cruising mode of flight which make it possible to reduce the takeoff weight of the aircraft, the weight of the basic propulsion system and the mass growth factor in comparison with the existing unmanned aerial vehicle of similar class, made according to the previously known technical solutions. The authors propose a methodology for optimizing the parameters of the configuration of the unmanned aerial vehicle considering the peculiarities of the implementation of vertical takeoff. The paper presents calculations of characteristics of vertical takeoff and landing unmanned aerial vehicles of existing types and the new hybrid type. The authors give quantitative estimates of improving unmanned aerial vehicle characteristics due to the new proposed technical solutions.
Sobre autores
O. Lukyanov
Samara National Research University
Autor responsável pela correspondência
Email: lukyanov.oe@ssau.ru
Candidate of Science (Engineering), Associate Professor of the Department of Aircraft Construction and Design
RússiaV. Hoang
Samara National Research University
Email: hunghoang2508@gmail.com
ORCID ID: 0009-0001-7714-0963
Postgraduate Student of the Department of Aircraft Construction and Design
RússiaV. Komarov
Samara National Research University
Email: vkomarov@ssau.ru
ORCID ID: 0009-0007-9313-5754
Doctor of Science (Engineering), Professor, Director of Research and Education Center for Aircraft Structures (REC-202)
RússiaD. Nazarov
Samara National Research University
Email: dvn69@mail.ru
Candidate of Science (Engineering), Associate Professor of the Department of Aircraft Construction and Design
RússiaE. Kurkin
Samara National Research University
Email: kurkin.ei@ssau.ru
ORCID ID: 0000-0002-0893-9878
Candidate of Science (Engineering), Associate Professor of the Department of Aircraft Construction and Design
RússiaJ. Quijada Pioquinto
Samara National Research University
Email: hosekihada@yandex.ru
Postgraduate Student of the Department of Aircraft Construction and Design
RússiaV. Chertykovtseva
Samara National Research University
Email: chertykovceva.vo@ssau.ru
Postgraduate Student of the Department of Aircraft Construction and Design
RússiaBibliografia
- Chugunova S.V., Shemetova O.V. Research of the market of unmanned aerial vehicles of Russia. Sb. materialov III Mezhdunarodnoy nauchno-prakticheskoy konferentsii tvorcheskoy molodezhi «Aktual'nye Problemy Aviatsii i Kosmonavtiki» (April, 10-14, 2017, Krasnoyarsk). V. 3. Krasnoyarsk: Siberian State Aerospace University Publ., 2017. P. 148-150. (In Russ.)
- Classifikatsiya BPLA [Classification of UAVs]. Available at: https://lasercomponents.ru/blog/klassifikacziya-bpla/
- Espinosa Barcenas O.U., Quijada Pioquinto J.G., Kurkina E., Lukyanov O. Multidisciplinary analysis and optimization method for conceptually designing of electric flying-wing unmanned aerial vehicles. Drones. 2022. V. 6, Iss. 10. doi: 10.3390/drones6100307
- Viktorin A., Senkerik R., Pluhacek M., Kadavy T., Jasek R. A lightweight SHADE-based algorithm for global optimization – liteSHADE. Lecture Notes in Electrical Engineering. 2020. V. 554. P. 197-206. doi: 10.1007/978-3-030-14907-9_20
- Pioquinto J.G.Q., Shakhov V.G. Improving the evolutionary aerodynamic optimization with Bezier-PARSEC parameterization using population size reduction methods. Proceedings of the 20th International Conference «Aviation and Cosmonautics» (November, 22-26, 2021, Moscow). Moscow: Pero Publ., 2021. P. 12. (In Russ.)
- Ali M.M., Zhu W.X. A penalty function-based differential evolution algorithm for constrained global optimization. Computational Optimization and Applications. 2013. V. 54. P. 707-739. doi: 10.1007/s10589-012-9498-3
- Badyagin A.A., Mukhamedov F.A. Proektirovanie legkikh samoletov [Design of light aircraft]. Moscow: Mashinostroenie Publ., 1978. 208 p.
- Torenbeek E. Advanced aircraft design: Conceptual design, analysis and optimization of subsonic civil airplanes. Hoboken, New Jersey: John Wiley & Sons, 2013. 436 p.
- Bratukhin I.P. Proektirovanie i konstruktsii vertoletov [Helicopter design and structures]. Moscow: Oborongiz Publ., 1955. 360 p.
- Raymer D. Aircraft design: A conceptual approach. American Institute of Aeronautics and Astronautics, 2018. 1062 p. doi: 10.2514/4.104909
- Roskam J. Airplane design. Part I: Preliminary sizing of airplanes. Design, Analysis and Research Corporation, 2015. 222 p.
- Wald Q.R. The aerodynamics of propellers. Progress in Aerospace Sciences. 2006. V. 42, Iss. 2. P. 85-128. doi: 10.1016/j.paerosci.2006.04.001
- Sedelnikov A., Kurkin E.I., Quijada Pioquinto J.G., Lukyanov O., Nazarov D., Chertykovtseva V., Kurkina E., Hoang V.H. Algorithm for propeller optimization based on differential evolution. Computation. 2024. V. 12, Iss. 3. doi: 10.3390/computation12030052
- Belotserkovskiy S.M. Tonkaya nesushchaya poverkhnost' v dozvukovom potoke gaza [Thin lifting surface in subsonic gas flow]. Moscow: Nauka Publ., 1965. 244 p.
- Katz J., Plotkin A. Low-speed aerodynamics: From wing theory to panel methods. McGraw-Hill, 1991. 656 p.
- Luk'yanov O.E., Kurkin E.I., Kuikhada Piokuinto Kh.G., Khoang V.Kh. Programma mnogodistsiplinarnoy optimizatsii bespilotnykh letatel'nykh apparatov vertikal'nogo vzleta i posadki s vintovym dvizhitelem «MOBLA 2.0» [Code of multidisciplinary optimization of unmanned aerial vehicles of vertical takeoff and landing with a helical propeller «MOBLA 2.0»]. Certificate of state registration of a computer program, no. 2024610971, 2024. (Publ. 16.01.2024)
- Budziak K. Aerodynamic analysis with athena vortex lattice (AVL). Hamburg University of Applied Sciences, 2015. 72 p.
- AVL overview. Available at: https://web.mit.edu/drela/Public/web/avl/
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