Integral imaging performance evaluation models for Earth remote sensing spacecraft with account for reliability at the stage of electrical testing

Аuthors

Lohmatkin V. V.

Space Rocket Centrе Progress, 18, Zemets str., Samara, 443009, Russia

e-mail: lohmatkin.vadim@yandex.ru

Abstract

The object of the study is reliability and integral imaging performance.

The subject of investigation is integral imaging performance evaluation for Earth remote sensing spacecraft with account for reliability of onboard systems and characteristics of special-purpose hardware.

The objective of the study consists in developing simulation algorithms and models of onboard support systems and special-purpose hardware partial failure effect on the integral imaging performance of the observation spacecraft.

The article employs the logical-probabilistic approach to the operability analysis of complex engineering systems, simulation method, synthetic sampling and method of statistical analysis. The author suggests a model of onboard systems failures while electric testing in relation to a spacecraft reliability level, based on statistic material analysis on the check switch-on.

An algorithm and mathematical models of special-purpose hardware modifications failures integral imaging performance evaluation, based on the algorithm of the integral evaluation of imaging performance figures, were developed. The article suggests the technique for performance evaluation of reliability figures of the onboard support systems and opto-electronic target hardware. This technique is based on simulation of the target functioning of a spacecraft with account for onboard systems failures.

The results of the performed studies are employed at ground testing stages of the observation spacecraft at the integral imaging characteristics evaluation with account for onboard systems reliability characteristics. Employing the developed models and algorithms allows evaluate the integral imaging performance with account for the onboard systems reliability figures and onboard opto-electronic target hardware characteristics.

Mathematical models of special-purpose opto-electronic hardware failures, simulation algorithm of special-purpose hardware partial failure effect on the integral imaging performance of the observation spacecraft, and corresponding software were developed. The integral imaging performance dependence from a spacecraft reliability figures can be plotted employing the software. These dependencies allow perform complex evaluation of integral imaging performance in relation to the spacecraft reliability level.

Keywords:

integral imaging, spacecraft, failure, test activation

References

1. Sidel’nikov V.P. Geoinformatika, 2013, vol. 19, no. 2, pp. 66 – 70.

2. Lokhmatkin V.V. Trudy MAI, 2013, no. 65, available at: http://trudymai.ru/eng/published.php?ID=35935

3. Lokhmatkin V.V. Trudy MAI, 2014, no. 74, available at: http://trudymai.ru/eng/published.php?ID=49228

4. Lokhmatkin V.V. Trudy MAI, 2015, no. 81, available at: http://trudymai.ru/eng/published.php?ID=57787

5. Belova V.V., Fomin V.M. Vestnik NPO im. Lavochkina, 2013, vol. 19, no. 3, pp. 51 – 56.

6. Zolotov A.A., Nurullaev E.D. Polet, 2014, no. 3, pp. 40 – 48.

7. Zolotov A.A. Obespechenie nadezhnosti transportnykh apparatov kosmicheskikh sistem (Ensuring reliability of transport spacecraft), Moscow, Mashinostroenie, 1988, 216 p.

8. Popovich P.R., Skrebyshevskii B.S. Ballisticheskoe proektirovanie kosmicheskikh system (Spacecraft system ballistic design), Moscow, Mashinostroenie, 1987, 240 p.

9. Malyshev V.V., Starkov A.V., Fedorov A.V. Trudy MAI, 2012, no. 57, available at: http://trudymai.ru/eng/published.php?ID=30798

10. Emel’yanov A.A., Malyshev V.V., Smol’yaninov Yu.A., Starkov A.V. Trudy MAI, 2017, no. 96, available at: http://trudymai.ru/eng/epublished.php?ID=85921

11. Darnopykh V.V. Trudy MAI, 2011, no. 47, available at: http://trudymai.ru/eng/published.php?ID=26960

12. Usovik I.V., Darnopykh V.V. Trudy MAI, 2013, no. 65, available at: http://trudymai.ru/eng/published.php?ID=35957

13. Yong Z, Xiao-Qian, W. Zhen-Guo. Development in multidisciplinary design optimization of the spacecraft, Journal Astronaut, 2006, no. 27, pp. 227 – 232.

14. Hengeveld D.W. Review of modern spacecraft thermal control technologies, HVAC&R Research, 2010, vol. 16, no. 2, pp. 189 – 220.

15. Corpino S., Stesina F. Verification of a CubeSat via Hardware-in-the-Loop Simulation, IEEE Transactions on Aerospace and Electronic Systems, 2014, vol. 50, no.4, pp. 2807 −2818.

16. Markley F.L. Attitude Determination using Vector Observations and the Singular Value Decomposition, Journal of the Astronautical Sciences, 1988, vol. 38, pp. 245 – 258.

17. Birur G.C., ODonnell T.P. Advanced thermal control technologies for space science missions at Jet Propulsion Laboratory, Space Technology and Applications International Forum-2001, AIP Publishing, 2001, vol. 552, no. 1, pp. 263 – 270.

18. Shaw G. Spectral Imaging for Remote Sensing, Lincoln Laboratory Journal, 2003, vol.14, no.1, pp. 3 – 28.

19. Wertz J.R., Everett D.F., Puschell J.J. (ed.). Space mission engineering: the new SMAD, Microcosm Press, 2011, pp. 685 – 700.

20. Furmanova E.A., Boiko O.G. Vestnik SibGAU, 2013, vol. 48, no. 2, pp. 134 – 143.

21. Lokhmatkin V.V., Kurenkov V.I. Izvestiya Samarskogo tsentra Rossiiskoi akademii nauk, 2013, vol. 15, no. 4(2), pp. 465 – 472.

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