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      Design and Analysis of Robust Ballistic Landings on the Secondary of a Binary Asteroid

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          Abstract

          ESA's Hera mission aims to visit binary asteroid Didymos in late 2026, investigating its physical characteristics and the result of NASA's impact by the DART spacecraft in more detail. Two CubeSats on-board Hera plan to perform a ballistic landing on the secondary of the system, called Dimorphos. For these types of landings the translational state during descent is not controlled, reducing the spacecrafts complexity but also increasing its sensitivity to deployment maneuver errors and dynamical uncertainties. This paper introduces a novel methodology to analyse the effect of these uncertainties on the dynamics of the lander and design a trajectory that is robust against them. This methodology consists of propagating the uncertain state of the lander using the non-intrusive Chebyshev interpolation (NCI) technique, which approximates the uncertain dynamics using a polynomial expansion, and analysing the results using the pseudo-diffusion indicator, derived from the coefficients of the polynomial expansion, which quantifies the rate of growth of the set of possible states of the spacecraft over time. This indicator is used here to constrain the impact velocity and angle to values which allow for successful settling on the surface. This information is then used to optimize the landing trajectory by applying the NCI technique inside the transcription of the problem. The resulting trajectory increases the robustness of the trajectory compared to a conventional method, improving the landing success by 20 percent and significantly reducing the landing footprint.

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          Author and article information

          Journal
          30 October 2023
          Article
          2310.19844
          793be3e8-e88d-458f-b196-a161a96f415a

          http://creativecommons.org/licenses/by/4.0/

          History
          Custom metadata
          34 pages, 15 figures
          astro-ph.IM astro-ph.EP cs.NA math.NA math.OC math.PR

          Planetary astrophysics,Numerical & Computational mathematics,Numerical methods,Probability,Instrumentation & Methods for astrophysics

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