Mechanization Technology Theoretical Justification Based on the Unmanned Aerial Vehicles and the Wind Power Plants

Abstract

Modern developments in the aerodynamics and computer technologies are producing a new impetus in aircraft construction and the wind energy development. An important feature in a wing of almost all the types of the unmanned aerial vehicles and blades of the wind turbines is the missing mechanization. Extensive experience in mechanizing the aircraft construction reveals the evident advantages of these devices as part of an aircraft. Following relevance of introducing mechanization in design and development of the unmanned aerial vehicles and wind turbines, the paper proposes description of the aerodynamics basic concepts and theoretical aspects in operation of various types of the wing mechanization, including those in the unmanned aerial vehicles of the aircraft type and the wind turbines. It identifies the general aerodynamic principles for increasing efficiency in all the modes, which could form a basis for further creating the control algorithms, including those based on the neural network approach. The neural network algorithm is designed to adjust the flap and slat inclination angles to increase the device efficiency. Using a neural network, it becomes possible to control the mechanized systems of an unmanned aerial vehicle or a wind turbine. Artificial intelligence could potentially improve introduction of the unmanned aerial vehicles in various areas

The work was supported by the Russian Science Foundation (grant no. 23-11-20016)

Please cite this article in English as:

Ryavkin G.N., Antipin D.S., Kuskarbekova S.I., et al. Mechanization technology theoretical justification based on the unmanned aerial vehicles and the wind power plants. Herald of the Bauman Moscow State Technical University, Series Mechanical Engineering, 2025, no. 2 (153), pp. 32--49 (in Russ.). EDN: NWYOLG

References

[1] Turlakova S.S. Information and communication technologies for the development of "smart" industries. Ekonomika promyshlennosti [Economy of Industry], 2019, no. 1 (85), pp. 101--122 (in Russ.). EDN: GMXFBM. DOI: https://doi.org/10.15407/econindustry2019.01.101

[2] Du L., Ingram G., Dominy R.G. A review of H-Darrieus wind turbine aerodynamic research. Proc. Inst. Mech. Eng. C J Mech. Eng. Sc. I, 2019, vol. 233, no. 23-24, pp. 7590--7616. DOI: https://doi.org/10.1177/0954406219885962

[3] Paraschivoiu I., Ammar S., Saeed F. VAWT versus HAWT: a comparative performance study of 2--6 MW rated capacity turbines. Trans. Can. Soc. Mech. Eng., 2018, vol. 42, no. 4, pp. 393--403. DOI: https://doi.org/10.1139/tcsme-2017-013

[4] Wang Y., Lu W., Dai K., et al. Dynamic study of a rooftop vertical axis wind turbine tower based on an automated vibration data processing algorithm. Energies, 2018, vol. 11, no. 11, art. 3135. DOI: https://doi.org/10.3390/en11113135

[5] Muller J. Reducing fuel consumption by aerofoil optimization. JOJ Mater. Sc., 2021,vol. 6, no. 4, art. 555692. DOI: https://doi.org/10.19080/JOJMS.2021.06.555692

[6] Sheldahl R.E., Klimas P.S. Aerodynamic characteristics of seven symmetrical airfoil sections through 180-degree angle of attack for use in aerodynamic analysis of vertical axis wind turbines. New York, Sandia National Laboratories, 1981.

[7] Fomin V.M., Melamed B.M. Outstanding mechanical engineer of the 20th century. Thermophys. Aeromech., 2019, vol. 26, no. 2, pp. 157--163. EDN: LLPLYP.DOI: https://doi.org/10.1134/S086986431902001X

[8] Mikhaylov Yu.S. Increase in high-lift devices efficiency of swept wing. Nauchnyy vestnik MGTU GA [Civil Aviation High Technologies], 2020, vol. 23, no. 6, pp. 101--120 (in Russ.). EDN: HVKNDM. DOI: https://doi.org/10.26467/2079-0619-2020-23-6-101-120

[9] Kurilov V.B. Studies on increasing the aerodynamic lift performance of a laminar wing with a Kruger flap. Vestnik MAI [Aerospace MAI Journal], 2023, vol. 30, no. 2, pp. 17--23 (in Russ.). EDN: PKFXDP

[10] Redkina K.V., Frolov V.A. Lift of the airfoil with spoiler. Vestnik SGAU im. akademika S.P. Koroleva, 2012, no. 5-1 (36), pp. 38--42 (in Russ.). EDN: RTGNVD

[11] De Soza S.-L.-M. Sposob i ustroystvo dlya zashchity maksimalnoy pod’emnoy sily vozdushnogo sudna [Method and device for protection of maximum lift of an aircraft]. Patent RF 2731194. Appl. 11.11.2016, publ. 31.08.2020 (in Russ.).

[12] Maksimov A.K. An indirect method of determining aerodynamic angles: an angle of attack and an angle of sideslip. Trudy MAI, 2015, no. 84, p. 10 (in Russ.). EDN: VDEARJ

[13] Taranukha V.P., Petrushin S.A., Pechenkin A.Yu., et al. One method to build flying vehicle launch catapults. Vestnik SGAU im. akademika S.P. Koroleva, 2014, no. 2 (44), pp. 125--128 (in Russ.). EDN: SMMMDH

[14] Matveenko O.V. Complex programming math model of wind power unit. Alternativnaya energetika i ekologiya [ISJAEE], 2010, no. 5 (85), pp. 64--70 (in Russ.). EDN: NEEDZF

[15] Buyalskiy V.I. Avtomatizirovannaya sistema upravleniya vetroenergeticheskoy ustanovkoy na baze otsenki skorosti vetra i moshchnosti potreblyaemoy elektroenergii. Dis. kand. tekh. nauk [Automated control system for wind power installation based on estimation of wind speed and power of consumpted electric energy. Cand. Sc. (Eng.). Diss.]. Sevastopol, SevGU, 2019 (in Russ.). EDN: MMGMKU

[16] Solomin E.V., Sirotkin E.A., Solomin E.E. The results of testing and operation of vertical axis wind turbines. Vestnik PNIPU. Elektrotekhnika, informatsionnye tekhnologii, sistemy upravleniya [PNRPU Bulletin. Electrical Engineering, Information Technology, Control Systems], 2015, no. 15, pp. 70--83 (in Russ.). EDN: SKDAJK

[17] Zakharov A.I., Chizhma S.N. Modeling a control system for a low-power wind energy plant. Materialovedenie. Ser. Energetika [Materials Science. Power Engineering], 2020, vol. 26, no. 4, pp. 36--50 (in Russ.). EDN: VBRPJH. DOI: https://doi.org/10.18721/JEST.26403

[18] Moiseev I.A., Osintsev K.V., Kuskarbekova S.I., et al. Improvement of the control system for the wing performance of an unmanned aerial vehicle. Russ. Aeronaut., 2023, vol. 66, no. 3, pp. 485--492. DOI: https://doi.org/10.3103/S1068799823030091

[19] Osintsev K.V., Karelin A., Isaev V. Control of a neural network for the operation of small aircraft for agricultural purposes. E3S Web Conf., 2024, vol. 474, art. 02018. DOI: https://doi.org/10.1051/e3sconf/202447402018

[20] Osintsev K.V., Mamazhonov A., Sobol’kin S. Wind farms in agro industry: stabilization of turbine blade operation during wind gusts. E3S Web Conf., 2024, vol. 474, art. 03021. DOI: https://doi.org/10.1051/e3sconf/202447403021