Artificial intelligence in support to space traffic management

Massimiliano Vasile, Víctor Rodríguez-Fernández, Romain Serra, David Camacho, Annalisa Riccardi

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Abstract

This paper presents an Artificial Intelligence-based decision support system to assist ground operators to plan and implement collision avoidance manoeuvres. When a new conjunction is expected, the system provides the operator with an optimal manoeuvre and an analysis of the possible outcomes. Machine learning techniques are combined with uncertainty quantification and orbital mechanics calculations to support an optimal and reliable management of space traffic. A dataset of collision avoidance manoeuvres has been created by simulating a range of scenarios in which optimal manoeuvres (in the sense of optimal control) are applied to reduce the collision probability between pairs of objects. The consequences of the execution of a manoeuvre are evaluated to assess its benefits against its cost. Consequences are quantified in terms of the need for additional manoeuvres to avoid subsequent collisions. By using this dataset, we train predictive models that forecast the risk of avoiding new collisions, and use them to recommend alternative manoeuvres that may be globally better for the space environment.

Original languageEnglish
Title of host publication68th International Astronautical Congress, IAC 2017
Subtitle of host publicationUnlocking Imagination, Fostering Innovation and Strengthening Security
Place of PublicationParis, France
Pages3822-3831
Number of pages10
Publication statusPublished - 1 Jun 2018
Event68th International Astronautical Congress: Unlocking Imagination, Fostering Innovation and Strengthening Security, IAC 2017 - Adelaide, Australia
Duration: 25 Sep 201729 Sep 2017

Publication series

NameProceedings of the International Astronautical Congress, IAC
Volume6
ISSN (Print)0074-1795

Conference

Conference68th International Astronautical Congress: Unlocking Imagination, Fostering Innovation and Strengthening Security, IAC 2017
CountryAustralia
CityAdelaide
Period25/09/1729/09/17

Keywords

  • space traffic
  • AI
  • artificial intelligence
  • astronautics
  • collision avoidance manoeuvres

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  • Cite this

    Vasile, M., Rodríguez-Fernández, V., Serra, R., Camacho, D., & Riccardi, A. (2018). Artificial intelligence in support to space traffic management. In 68th International Astronautical Congress, IAC 2017: Unlocking Imagination, Fostering Innovation and Strengthening Security (pp. 3822-3831). (Proceedings of the International Astronautical Congress, IAC; Vol. 6). Paris, France.