Synthesis of Ballistic Capture Corridors at Mars via Polynomial Chaos Expansion
Martina Liotta, Gianmario Merisio, Carmine Giordano, and Francesco, Topputo

TL;DR
This paper introduces a novel method using Polynomial Chaos Expansion to autonomously synthesize ballistic capture corridors at Mars, enhancing deep-space mission autonomy and reducing reliance on ground-based operations.
Contribution
It develops a new approach to construct ballistic capture corridors on board spacecraft using PCE, enabling autonomous deep-space navigation without prior instructions.
Findings
Successful numerical synthesis of BCC at Mars using PCE
Demonstrated accuracy of PCE in propagating BC orbits
Enhanced autonomy in deep-space mission planning
Abstract
The space sector is experiencing a flourishing growth and evidence is mounting that the near future will be characterized by a large amount of deep-space missions. In the last decade, CubeSats have granted affordable access to space due to their reduced manufacturing costs compared to traditional missions. At the present-day, most miniaturized spacecraft have thus far been deployed into near-Earth orbits, but soon a multitude of interplanetary CubeSats will be employed for deep-space missions as well. Nevertheless, the current paradigm for deep-space missions strongly relies on ground-based operations. Although reliable, this approach will rapidly cause saturation of ground slots, thereby hampering the current momentum in space exploration. At the actual pace, human-in-the-loop, flight-related operations for deep-space missions will soon become unsustainable. Self-driving spacecraft…
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Taxonomy
TopicsAstro and Planetary Science · Stellar, planetary, and galactic studies · Planetary Science and Exploration
