Simulations of Space Probes and their Motions Relative to the Host Orbital Station

Keywords: Space exploration, astrodynamics, resonant orbits, period of revolution, impulsive maneuvers, soft docking.

Abstract

Launching a space probe from an orbiting platform into a resonant orbit is discussed and illustrated by convincing computer simulations. The probe is to approach the surface of the planet in order to explore it from a low altitude, or investigate far off space regions from an orbit with a high apogee. After the mission is fulfilled, the probe is to return to the orbital station and softly dock to it. Simple quantitative analysis of required maneuvers is based in the paper on fundamental laws of physics, the principles of energy and angular momentum conservation, and on Kepler's laws. Considered examples of probe's motions are illustrated by an accompanying simulation program. Material is appropriate for specialists in astrodynamics and orbital mechanics, as well as for a wide readership including astronautical engineers and other personnel involved or interested in space exploration.

 

Author Biography

Eugene I. Butikov, Saint Petersburg State University, Saint Petersburg, Russia

Prof. at St.Petersburg State University; 198504 Saint-Petersburg, Petergof, Ul’yanovskaya St, 3, eugene.butikov@gmail.com

References

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E. I. Butikov, “Orbital Maneuvers and Space Rendezvous”, Advances in Space Research, vol. 56, iss. 11, pp. 2582–2594, 2015.

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An improved updated version (2014) of the simulation programs package (for Windows OS) is freely available on the web at http://butikov.faculty.ifmo.ru/ (section Downloads) (accessed 3 January 2017).

E. I. Butikov, “A Dynamical Picture of the Oceanic Tides”, Am. J. Phys., vol. 70, iss. 10, pp. 1001–1011, 2002.

Published
2018-02-28
How to Cite
Butikov, E. I. (2018). Simulations of Space Probes and their Motions Relative to the Host Orbital Station. Computer Tools in Education, (1), 16-30. https://doi.org/10.32603/2071-2340-2018-1-16-30
Section
Algorithmic mathematics and mathematical modelling