Certificate of Registration Media number Эл #ФС77-53688 of 17 April 2013. ISSN 2308-6033. DOI 10.18698/2308-6033
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Methods of studying sighting axis oscillations when observing the Earth’s surface from the Russian segment of the International Space Station

Published: 16.10.2020

Authors: Evdokimov R.A., Tugaenko V.Yu., Smirnov A.V.

Published in issue: #10(106)/2020

DOI: 10.18698/2308-6033-2020-10-2024

Category: Aviation and Rocket-Space Engineering | Chapter: Aircraft Dynamics, Ballistics, Motion Control

The study introduces a method for determining the characteristics of long-period oscillations of the International Space Station structure by analyzing the displacement of the sighting axis of scientific equipment relative to the calculated position when observing the Earth’s surface from the Russian segment. The technique makes it possible to identify long-term oscillations through noise caused by high-frequency oscillations and measurement errors, as well as long-term trends associated with a change in the orientation of the station. The work was carried out as part of the first stage of the Pelican space experi-ment to develop the technology of wireless energy transmission in space. After processing the measurement results performed in the experiment sessions, it was possible to determine the maximum values of the amplitudes and angular velocities of the displacement of the sighting axis in order to clarify the requirements for the guidance system of scientific equipment used in the subsequent stages of the experiment.

[1] Chertok B.E., Evdokimov R.A., Legostaev V.P., Lopota V.A., Sokolov B.A., Tugaenko V.Yu. Remote Electric Power Transfer between Spacecrafts by Infrared Beamed Energy. AIP Conference Proceedings, 2011, vol. 1402 (1), pp. 489–496. DOI: 10.1063/1.3657057
[2] Kapranov V.А., Evdokimov R.А, Matsak I.S., Tugaenko V.Yu. Demonstration of ISS-based IR WPT system and capabilities of atmospheric researches. Proceedings of the 64th International Astronautical Congress, Beijing, China, 2013, vol. 9, рр. 6661–6663.
[3] Gribkov A.S., Evdokimov R.A., Sinyavskiy V.V., Sokolov B.A., Tugaenko V.Yu. Izvestiya RAN. Energetika (Proceedings of the Russian Academy of Sciences. Energy), 2009, no. 10, pp. 118–123.
[4] Evdokimov R.A., Kornilov V.A., Lobykin A.A., Tugaenko V.Yu. Poverkhnost. Rentgenovskie, sinkhrotronnye i neytronnye issledovaniya ― Journal of Surface Investigation: X-Ray, Synchrotron and Neutron Techniques, 2018, no. 9, pp. 82–92.
[5] Matsak I.S., Kapranov V.А., Tugaenko V.Yu., Suhareva N.A. Super narrow beam shaping system for remote power supply at long atmospheric path. Proc. SPIE, 2017, p. 100900U. DOI: 10.1117/12.2250752
[6] Prutko A.A., Sumarokov A.V. Vestnik MGTU im. N.E. Baumana. Ser. Priborostroenie ― Herald of the Bauman Moscow State Technical University. Series Instrument Engineering, 2018, no. 4 (121), pp. 59–68. DOI: 10.18698/0236-3933-2018-4-59-68
[7] Korn G.A., Korn T.M. Mathematical handbook for scientists and engineers: Definitions, theorems, and formulas for reference and review. Mineola, New York, USA, Dover Publications, Inc., 2000, 1152 p.
[8] Kobzar A.I. Prikladnaya matematicheskaya statistika [Applied mathematical statistics]. Moscow, Fizmatlit Publ., 2006, 816 p.
[9] Borovkov A.A. Matematicheskaya statistika [Mathematical statistics]. Moscow, Fizmatlit Publ., 2007, 704 p.
[10] Edwards R.E. Fourier Series: a Modern Introduction. Holt Rinehart & Winston Publ., 208 p. [In Russ.: Edwards R.E. Ryady Fure v sovremennom izlozhenii. V 2 tomakh. Moscow, Mir Publ., 1985].
[11] Bendat J.S., Piersol A.G. Random data: analysis and measurement procedures. Wiley, 4th ed., 640 p. [In Russ.: Bendat J.S., Piersol A.G. Prikladnoy analiz sluchaynykh dannykh. Moscow, Mir Publ., 1989, 500 p.].
[12] Aivazyan S.A., Mkhitaryan V.S. Prikladnaya statistika i osnovy ekonometriki [Applied statistics and foundations of econometrics]. Moscow, UNITY Publ., 1998, 650 p.