Battery-Aware Scheduling in Low Orbit: The GomX–3 Case

  • Morten Bisgaard
  • David Gerhardt
  • Holger Hermanns
  • Jan Krčál
  • Gilles Nies
  • Marvin Stenger
Conference paper

DOI: 10.1007/978-3-319-48989-6_34

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9995)
Cite this paper as:
Bisgaard M., Gerhardt D., Hermanns H., Krčál J., Nies G., Stenger M. (2016) Battery-Aware Scheduling in Low Orbit: The GomX–3 Case. In: Fitzgerald J., Heitmeyer C., Gnesi S., Philippou A. (eds) FM 2016: Formal Methods. FM 2016. Lecture Notes in Computer Science, vol 9995. Springer, Cham

Abstract

When working with space systems the keyword is resources. For a satellite in orbit all resources are sparse and the most critical resource of all is power. It is therefore crucial to have detailed knowledge on how much power is available for an energy harvesting satellite in orbit at every time – especially when in eclipse, where it draws its power from onboard batteries. This paper addresses this problem by a two-step procedure to perform task scheduling for low-earth-orbit (LEO) satellites exploiting formal methods. It combines cost-optimal reachability analyses of priced timed automata networks with a realistic kinetic battery model capable of capturing capacity limits as well as stochastic fluctuations. The procedure is in use for the automatic and resource-optimal day-ahead scheduling of GomX–3, a power-hungry nanosatellite currently orbiting the earth. We explain how this approach has overcome existing problems, has led to improved designs, and has provided new insights.

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Morten Bisgaard
    • 1
  • David Gerhardt
    • 1
  • Holger Hermanns
    • 2
  • Jan Krčál
    • 2
  • Gilles Nies
    • 2
  • Marvin Stenger
    • 2
  1. 1.GomSpace ApSAalborgDenmark
  2. 2.Saarland University – Computer ScienceSaarbrückenGermany

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