Autonomous Navigation for Binary Asteroid Landing

A vision-based and altimeter-aided navigation filter for small spacecraft

Master Thesis (2023)
Author(s)

P.A. Elffers (TU Delft - Aerospace Engineering)

Contributor(s)

E Kampen – Mentor (TU Delft - Control & Simulation)

E. Mooij – Mentor (TU Delft - Astrodynamics & Space Missions)

Edoardo Caroselli – Mentor (AirBus Defence and Space GmbH)

Faculty
Aerospace Engineering
Copyright
© 2023 Peter Elffers
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 Peter Elffers
Graduation Date
26-04-2023
Awarding Institution
Delft University of Technology
Project
['NEO-MAPP']
Programme
['Aerospace Engineering']
Sponsors
AirBus Defence and Space GmbH
Faculty
Aerospace Engineering
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Abstract

This paper investigates the performance of an autonomous navigation system to navigate a spacecraft in the proximity of a binary asteroid system using optical and laser ranging measurements. The knowledge about the binary asteroid is limited to its orbital parameters and ellipsoid shape models. The accelerometer bias random walk is included in the estimation process. Over a four-hour landing maneuver starting from 6770 m altitude and ending at 550 m, the mean position estimation uncertainty is 41.6 m (3σ). It is shown that the navigation accuracy is sensitive to the Sun phase angle, the irregularity of the asteroid shape, and the goodness of fit of the ellipsoid shape model. The paper demonstrates that the navigation system is robust to large errors in the initialization of the extended Kalman filter state. The impact of image distortion and two types of image noise on the navigation performance are investigated.

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