Issues of building an adaptive flight mode of a reconnaissance UAV


Аuthors

Aliyeva G. V.*, Huseynov O. A.

National Aerospace Agency of Azerbaijan Republic, NASA, 1, Suleyman Sani Akhundov str., Baku, AZ1115, Azerbaijan Republic

*e-mail: gunelcelilova@mail.ru

Abstract

The need for a correct assessment of the effectiveness of the conducted reconnaissance carried out using integrated spatially distributed aviation complexes of manned aerial reconnaissance facilities is explained by the extreme conditions in which they often have to be implemented. At the same time, proper planning of such flights is one of the most important tasks, the solution of which would ensure the successful completion of the mission of unmanned aerial vehicles of the reconnaissance type. Taking measures to ensure the high quality of images obtained during the flight of the UAV is certainly an essential component of such planning. images. The purpose of this study is to determine the main patterns in the organization of an adaptive mode of operation of optoelectronic reproducing equipment. The essence of the proposed adaptive mode is to promptly change the focal length depending on the altitude of the UAV in order to achieve the maximum possible value of the indicator on the NIIRS scale. Currently, the NIIRS criterion is used to evaluate the quality of images obtained from electro-optical UAV systems in the infrared range. NIIRS is an evaluation scale of the degree of interpretability of images received from UAVs. The higher the NIIRS score, the more details you can make out in the resulting image. The NIIRS scale contains 10 levels, where the zero level indicates an image in which it is impossible to distinguish any details, the ninth level indicates images in which the movement of people is clearly visible. The mathematical apparatus most often used to calculate the levels of this scale is the General Equation of Image Quality. The possibilities of adaptive construction of reconnaissance-type UAVs with variable focal length are investigated. It is shown that the root dependence of the second degree of the UAV flight altitude on the focal length of optoelectronic equipment is the worst option for adaptive flight altitude control, when implemented, the evaluation of the UAV mission on the NIIRS scale reaches a minimum value. When designing and operating an intelligence-type UAV, it is advisable to avoid organizing such an adaptive control mode.

Keywords:

adaptive control, UAV, focal length, altitude, optoelectronic equipment

References

  1. Anan'ev A.V., Ivannikov K.S. Trudy MAI, 2022, no. 122. URL: https://trudymai.ru/eng/published.php?ID=164268. DOI: 10.34759/trd-2022-122-16

  2. Trokhov D.A., Turkin I.K. Trudy MAI, 2014, no. 78. URL: https://trudymai.ru/eng/published.php?ID=53735

  3. Karimov A.Kh. Trudy MAI, 2011, no. 47. URL: https://trudymai.ru/eng/published.php?ID=26769

  4. Andrievskii B.R., Popov A.M., Mikhailov V.A., Popov F.A. Aerokosmicheskaya tekhnika i tekhnologii, 2023, vol. 1, no. 2, pp. 72-107.

  5. Zuo Z., Liu C., Han Q., Song J. Unmanned aerial vehicles: control methods and future challenges, IEEE/CAA Journal of Automatica Sinica, 2022, vol. 9, no 4, pp. 1-14. DOI: 10.1109/JAS.2022.105410

  6. Agbeyangi A.O., Odiete J.O., Olorunlomerue A.B. Review on UAVs used for aerial surveillance, Journal of multidisciplinary engineering science and technology, 2016, vol. 3, issue 10.

  7. Teli S.N., Jagtap M., Nadekar R., Gudade P., More R., Bhagat P. Unmanned aerial vehicle for surveillance, International Journal of Scientific & Technology Research, 2014, vol. 3, issue 5.

  8. El-Sherbeny N.A. Vehicle routing with time windows: an overview of exact, heuristic and metaheuristic methods, Journal of King Saud University - Science, 2010, vol. 22 (3), pp. 123-131. DOI: 10.1016/j.jksus.2010.03.002

  9. Schneider M. The vehicle-routing problem with time windows and driver-specific times, European Journal of Operational Research, 2016, vol. 250, pp. 101-119. DOI: 10.1016/j.ejor.2015.09.015

  10. Hu C., Lu J., Liu X., Zhang G. Robust vehicle routing problem with hard time windows under demand and travel time uncertainty, Computers & Operations Research, 2018, vol. 94, pp. 139-153. DOI: 10.1016/j.cor.2018.02.006

  11. Timoshenko A.V., Baldychev M.T., Marenkov I.A., Pivkin I.G. Trudy MAI, 2020, no. 111. URL: https://trudymai.ru/eng/published.php?ID=115145. DOI: 10.34759/trd-2020-111-10

  12. Nasab H.M., Navazani N. Adaptive control for trajectory tracking of an unmanned aerial vehicle, Advanced Engineering Forum, 2016, vol. 17, pp. 101-110. DOI: 10.4028/www.scientific.net/AEF.17.101

  13. Xue W., Zhu X., Yang X., Ye H., Chen X. A moving target tracking control of quadrotor UAV based on passive control and super-twisting sliding mode control, Mathematical problems in engineering, 2021. URL: https://doi.org/10.1155/2021/6627495

  14. Zhang J., Huang H. Occlusion-aware UAV path planning for reconnaissance and surveillance, Drones, 2021, vol. 5, pp. 98. DOI: 10.3390/drones5030098

  15. Arkhipov A.V., Timoshenkov S.P. Izvestiya vuzov. Elektronika, 2022, vol. 27, no. 5, pp. 652-663. DOI: 10.24151/1561-5405-2022-27-5-652-663

  16. Vachtsevanos G., Tang L., Drozeski G., Gutierrez L. From mission planning to flight control of unmanned aerial vehicles: startegies and implementation tools, Annual reviews in control, 2005, vol. 29, issue 1, pp. 101-115. DOI: 10.1016/j.arcontrol.2004.11.002

  17. Korneyev A., Gorobetz M., Alps I., Ribickis L. Adaptive traction drive control algorithm for electrical energy consumption minimization of autonomous unmanned aerial vehicle, Electrical, Control and Communication Engineering, 2019, vol. 15, no. 2, pp. 62-70. DOI: 10.2478/ecce-2019-0009

  18. Bai J., Su Y., Chen L., Feng Y., Liu J. EO Sensor planning for UAV engineering reconnaissance based on NIIRS and GIQE, Mathematical Problems in Engineering, 2018, vol. 4, pp. 1-9. DOI: 10.1155/2018/6837014

  19. Stecz W., Gromada K. Determining UAV flight trajectory for target recognition using EO/IR and SAR, Sensors, 2020, vol. 20 (19), pp. 5712. DOI: 10.3390/s20195712

  20. El'sgol'ts L.E. Differentsial'nye uravneniya i variatsionnoe ischislenie (Differential equations and calculus of variations), Moscow, Nauka, 1974, 432 p.


Download

mai.ru — informational site MAI

Copyright © 2000-2024 by MAI

 Вход