Genetic algorithms for GNC settings and DACS design application to an asteroid Kinetic Impactor

Author:

Vernis P.,Oliviero V.

Abstract

This paper deals with an application of Genetic Algorithm (GA) tools in order to perform and optimize the settings phase of the Guidance, Navigation, and Control (GNC) data set for the endgame phase of a Kinetic Impactor (KI) targeting a medium-size Near Earth Object (NEO). A coupled optimization of the GNC settings and of the GC-oriented design of the Divert and Attitude Control System (DACS) is also proposed. The illustration of the developed principles is made considering the NEOShield study frame.

Publisher

EDP Sciences

Reference11 articles.

1. Chapuy M., Vernis P., Desprée N., and Capolupo F.. 2014. NEOShield Project: GNC design and performance assessment of a liquid-fuelled asteroid kinetic impactor. 9th Conference (International) on Guidance, Navigation, and Control Systems. Porto, Portugal.

2. Vernis P., Jourdas J.-F., Hachelef N., Gu C., and Scwhientek A.. 2013. HOMER project: ILIAD and ODYSSEY GNC design and performance. 4th International ARA Days. Arcachon, France.

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