Methodology for Determining Deviations of Pilotless Aircraft from a Given Trajectory by Parallaxes of Underlying Surface Images
https://doi.org/10.21869/2223-1560-2022-26-2-122-141
Abstract
Purpose of research. Development of a methodology for determining deviations of pilotless aircrafts from a given trajectory in conditions of signals loss from navigation satellites.
Methods. The technique is based on functional relationship between deviation parameters of pilotless aircrafts from a given trajectory and changes in longitudinal and transverse parallaxes of overlapping images of the underlying surface due to these deviations. Mathematical description of computational procedures for deviation parameters determination used methods of functions approximation and mathematical processing of measurement results with accuracy estimation of obtained results.
Results. A methodology that includes monitoring, assessing the level and determining the magnitude and direction of deviations of pilotless aircrafts from a given trajectory was developed. A system of nonlinear equations describing functional relationship between deviation parameters and changes in parallax of overlapping images of the underlying surface is obtained. Linearization, normalization and solutions of this system of equations by the least squares method were performed. Analytical relations were obtained for a posterior accuracy assessment of the obtained results.
Conclusion. The technique provides parameters detection and determination of uncoordinated deviations of pilotless aircrafts from a given trajectory with an accuracy commensurate with satellite navigation methods. The proposed approach makes it possible to reduce the number of processed corresponding points in overlapping images and the dimension of the problem being solved in comparison with known methods. This significantly reduces the level of computational and resource costs, which is of great importance for the use of developed technique on the board of miniature pilotless aircrafts.
About the Authors
V. G. AndronovRussian Federation
Vladimir G. Andronov, Dr. of Sci. (Engineering), Head of Space Instrumentation and Communication Systems Department
50 Let Oktyabrya str. 94, Kursk 305040
A. A. Chuev
Russian Federation
Andrey A. Chuev, Lecturer, Space Instrumentation and Communication Systems Department
50 Let Oktyabrya str. 94, Kursk 305040
I. S. Yudin
Russian Federation
Ilya S. Yudin, student, Constitutional Law Department
50 Let Oktyabrya str. 94, Kursk 305040
References
1. Ardentov A. A., Beschastny I. Y., Mashtakov A. P. [etс.] Algoritmy vychisleniya polozheniya i orientatsii BPLA [Algorithms for calculating the position and orientation of the UAV]. Programmnye sistemy: teoriya i prilozheniya = Software Systems: Theory and Applications, 2012, vol. 3, no. 3(12), pp. 23-38.
2. Oleinik I.I., Chernomorets A.A., Andronov V.G. Malorazmernye bespilotnye letatel'nye apparaty: zadachi obnaruzheniya i puti ikh resheniya [Small-sized unmanned aerial vehicles: detection tasks and ways to solve them]; ed. by V.G. Andronov. Kursk, 2021. 171 p.
3. Oleinik I.I., Chernomorets A.A., Andronov V.G. Metodologicheskie osnovy obnaruzheniya malorazmernykh bespilotnykh letatel'nykh apparatov na osnove kompleksnoi subpolosnoi obrabotki sverkhkorotkoimpul'snykh radiolokatsionnykh i opticheskikh signalov [Methodological foundations for the detection of small-sized unmanned aerial vehicles based on complex sub-band processing of ultrashort pulse radar and optical signals]. Kursk, 2021. 204 p.
4. Andronov V.G., Emelyanov S.G. Аutonomous navigation and attitude control of spacecrafts on near-earth circular orbits. Journal of applied engineering science, 2018, vol.16, no. 1, pp. 107-110.
5. Kikutis R., Stankūnas J., Rudinskas D. Autonomous unmanned aerial vehicle flight accuracy evaluation for three different path-tracking algorithms. Transport, 2019, no. 34(6), pp. 652-661.
6. Arulmurugan L., Raghavendra Prabhu S., Ilangkumaran M., Suresh V., Saravanakumar R., R., Raghunath M. Kinematics and plane decomposition algorithm for non linear path planning navigation and tracking of unmanned aerial vehicles. IOP Conference Series: Materials Science and Engineering, 2020, no. 995(1), pp. 012019. URL: https://iopscience.iop.org/article/10.1088/1757-899X/995/1/012019/pdf. Available at: 14.12.2021).
7. Luo S., Liu H., Hu M., Dong J. Review of multi-modal image matching assisted inertial navigation positioning technology for unmanned aerial vehicle. Guofang Keji Daxue Xuebao/Journal of National University of Defense Technology, 2020, vol. 42, no. 6, pp. 1-10.
8. Hosseini K., Ebadi H., Farnood Ahmadi F. Determining the location of UAVs automatically using aerial or remotely sensed high-resolution images for intelligent navigation of UAVs at the time of disconnection with GPS. Journal of the Indian Society of Remote Sensing, 2020, no. 48(12), pp. 1675-1689. https://doi.org/10.1007/s12524-020-01187-4.
9. Andronov V.G., Emelyanov S.G. Metod avtonomnoi navigatsii kosmicheskikh apparatov [Method of autonomous navigation of spacecraft]. Izvestiya Yugo-Zapadnogo gosudarstvennogo universiteta = Proceedings of the Southwest State University, 2016, no. 2(65), pp. 65-73.
10. Andronov V.G., Emelyanov S.G. Astronavigatsiya kosmicheskikh apparatov na krugovykh okolozemnykh orbitakh [Astronavigation of spacecraft in circular near-Earth orbits]. Izvestiya Yugo-Zapadnogo gosudarstvennogo universiteta = Proceedings of the Southwest State University, 2016, no. 3(66), pp. 34-44.
11. Antonov D.A., Zharkov M.V., Kuznetsov I.M., Lunev E.M., Pronkin A.N. Opredelenie navigatsionnykh parametrov bespilotnogo letatel'nogo apparata na baze fotoizobrazheniya i inertsial'nykh izmerenii [Determination of navigation parameters of an unmanned aerial vehicle based on photographic images and inertial measurements]. Trudy MAI = Proceedings of MAI, 2016, is. no. 91, pp. 1-26.
12. Limonov A.N., Gavrilova L.A. Fotogrammetriya i distantsionnoe zondirovanie [Photogrammetry and remote sensing]. Moscow, Akademicheskii proekt Publ., 2018, 296 p.
13. Andronov V. G., Chuev A. A., Knyazev A. A. Opredelenie i otsenka urovnya otklonenii bespilotnykh letatel'nykh apparatov ot zadannoi traektorii po izobrazheniyam podstilayushchei poverkhnosti [Determination and Assessment of the Level of deviations of Unmanned Aerial Vehicles from a Given Trajectory from Images of the Underlying Surface]. Izvestiya Yugo-Zapadnogo gosudarstvennogo universiteta. Seriya: Upravlenie, vychislitel'naya tekhnika, informatika. Meditsinskoe priborostroenie = Proceedings of the Southwest State University. Series: Control, Computing Engineering, Information Science. Medical Instruments Engineering, 2022, no. 1(12), pp. 129-144.
14. Mikhailov A. P., Chibunichev A. G. Fotogrammetriya [Photogrammetry]. Moscow, 2016. 292 p.
15. Rakov D.N., Nikitin V.N. Vybor tsifrovogo nemetricheskogo fotoapparata dlya bespilotnogo aerofotos"emochnogo kompleksa [The choice of a digital non-metric camera foan unmanned aerial photography complex]. Interekspo Geo-Sibir' = Interexpo Geo-Siberia, 2012, no. 7, pp. 27-36.
16. Salychev O.S. Avtopilot BPLA s inertsial'noi integrirovannoi sistemoi – osnova bezopasnoi ekspluatatsii bespilotnykhkompleksov [UAV autopilot with an Inertial Integrated System is the basis for the safe operation of unmanned complexes]. Available at: http://www.teknol.ru/trash/uav_autopilot_salychev_2602182965.pdf (accessed: 14.12.2021).
Review
For citations:
Andronov V.G., Chuev A.A., Yudin I.S. Methodology for Determining Deviations of Pilotless Aircraft from a Given Trajectory by Parallaxes of Underlying Surface Images. Proceedings of the Southwest State University. 2022;26(2):122-141. (In Russ.) https://doi.org/10.21869/2223-1560-2022-26-2-122-141