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Calculation of unmanned aerial vehicle positioning coordinates when dropping agricultural loads

https://doi.org/10.26897/2687-1149-2024-4-68-74

Abstract

In some agricultural processes, an unmanned aerial vehicle (UAV) delivers fertilizers, crop protection products, water and water solutions. The drop of material objects (load) can be controlled by a microprocessor installed on the UAV by means of an algorithm-based program. The authors conducted theoretical studies to develop a mathematical model of the load motion when it is dropped from a low-flying UAV and an algorithm for determining the moment of load drop to reach a given landing point using the known flight parameters. The study identified factors influencing the trajectory of the dropped material objects and posed the problem of determining the distance from the point of load dropping from the UAV to the required landing point. The article presents systems of differential equations of load motion without air resistance and with a quadratic dependence of the air resistance force on the drop velocity. Curves are constructed to determine the moment of load drop simplistically using the velocity and flight altitude of the UAV. The equations for calculating the final horizontal component of the loads drop velocity, the tangent angle and duration of its drop, as well as the required distance are given. The arguments of the found functions are ballistic coefficient, speed and flight altitude of the UAV. The authors note the necessity of refining the obtained solutions by taking into account the dependence of the parameters of the dropped loads on the wind speed and direction, as well as precipitation and atmospheric pressure. The article presents an algorithm of automatic control of the reset of material objects dropping by an on-board eight-bit processor with cyclic implementation of the duration of incoming information processing.

About the Authors

D. V. Belov
Russian State Agrarian University – Moscow Timiryazev Agricultural Academy
Russian Federation

Dmitriy V. Belov, postgraduate student

49 Timiryazevskaya Str., Moscow, 127434



S. A. Andreev
Russian State Agrarian University – Moscow Timiryazev Agricultural Academy
Russian Federation

Sergey A. Andreev, CSc (Eng), Associate Professor

49 Timiryazevskaya Str., Moscow, 127434



References

1. Wang G., Han Yu., Li X., Andaloro J., Chen P., Hoffmann W.C., Han X., Chen S., Lan Yu. Field evaluation of spray drift and environmental impact using an agricultural unmanned aerial vehicle (UAV) sprayer. Science of The Total Environment. 2020;737:139793. https://doi.org/10.1016/j.scitotenv.2020.139793

2. Belov D.V. Andreev, S.A. Calculation of the heating rate of helium in the working chamber of the airship. Modern energy-saving thermal and mass transfer technologies (drying, thermal and mass transfer processes) SETMT – 2023: Proceedings of the Eighth International Scientific and Practical Conference, Russian State Agrarian University – Moscow Timiryazev Agricultural Academy. 2023. Рр. 327-330. (In Russ.)

3. Malyuta D., Brommer Ch., Hentzen D., Stastny T., Siegwart R., Brockers R. Long-duration fully autonomous operation of rotorcraft unmanned aerial systems for remote-sensing data acquisition. Journal of Field Robotics. 2020;37(1):137-157. https://doi.org/10.1002/rob.21898

4. Shahid N., Abrar M., Ajmal U., Masroor R., Amjad Sh., Jeelani M. Path planning in unmanned aerial vehicles: An optimistic overview. International Journal of Communication Systems. 2022;35(6): e5090. https://doi.org/10.1002/dac.5090

5. Gorbach N.I., Luzhinskiy E.S., Neverovskaya Ya.B. Study of the fall of a heavy load in the air under the quadratic law of resistance. Theoretical and applied mechanics: International scientific and technical journal (dedicated to the 90th anniversary of BNTU and the 80th anniversary of Ivlev D.D. Ministry of Education of the Republic of Belarus, Minsk: BNTU, 2011;26:290-294. (In Russ.)

6. Benarbia T., Kyamakya K. A literature review of drone-based package delivery logistics systems and their implementation feasibility. Toward the New Era of Sustainable Design, Manufacturing and Management. Sustainability. 2022;14(1):360. https://doi.org/10.3390/su14010360

7. Li Y., Liu M., Jiang D. Application of unmanned aerial vehicles in logistics: a literature review. Sustainability. 2022;14(21):14473. https://doi.org/10.3390/su142114473

8. Saponi M. BorboniA., Adamini R., Faglia R., Amici C. Embedded payload solutions in UAVs for medium and small package delivery. Machines. 2022;10(9):737. https://doi.org/10.3390/machines10090737

9. Fedorenko R.V. Structural-algorithmic and hardware organization of the autopilot for landing a robot-airship using visual navigation. Science and Education of Bauman MSTU, 2011;9:9. (In Russ.)

10. Fedorenko R.V. Autopilot algorithm for landing a robotic airship. Engineering Journal of Don, 2011;1:365-371. (In Russ.)


Review

For citations:


Belov D.V., Andreev S.A. Calculation of unmanned aerial vehicle positioning coordinates when dropping agricultural loads. Agricultural Engineering (Moscow). 2024;26(4):68-74. (In Russ.) https://doi.org/10.26897/2687-1149-2024-4-68-74

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ISSN 2687-1149 (Print)
ISSN 2687-1130 (Online)