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On Optimal Spacecraft Trajectory Planning for Asteroid Visual Coverage
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Space Technology.ORCID iD: 0000-0003-1437-1809
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-7631-002x
AOCS Department, OHB Sweden AB, Stockholm, Sweden.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0003-0126-1897
2020 (English)In: 2020 28th Mediterranean Conference on Control and Automation (MED), IEEE, 2020, p. 236-242Conference paper, Published paper (Refereed)
Abstract [en]

In this article, an optimization based spacecraft trajectory planner for asteroid proximity missions is presented. In asteroid missions, it is of a specific interest to determine the surface and material properties of the target asteroid by obtaining high-resolution measurements from multiple sites over the asteroid surface. During this mission, an important problem to solve is the trajectory planning for the spacecraft, that results into a visual coverage problem for the asteroid surface. However, asteroids provide a challenging target for such missions since they are partially illuminated, rotating, irregular shaped bodies with a low (micro) but irregular gravity field. For addressing this challenging problem, this article will propose a novel optimization approach for the visual coverage of an asteroid. Thus, the proposed trajectory planner's objective is to determine the sequence of the areas to cover and the associated trajectories to achieve this coverage, while considering the motion of the spacecraft, the rotation dynamics of the asteroid, the illumination to each asteroid site and the irregular gravity constraints of the asteroid. The efficacy of the proposed optimal trajectory planner is evaluated through multiple simulation results, where it demonstrates successful optimal coverage of all the desired asteroid areas.

Place, publisher, year, edition, pages
IEEE, 2020. p. 236-242
Series
Mediterranean Conference on Control and Automation (MED), ISSN 2325-369X, E-ISSN 2473-3504
National Category
Control Engineering Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Onboard space systems; Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-80678DOI: 10.1109/MED48518.2020.9183053ISI: 000612207700039Scopus ID: 2-s2.0-85092202974OAI: oai:DiVA.org:ltu-80678DiVA, id: diva2:1464044
Conference
2020 28th Mediterranean Conference on Control and Automation (MED), 15-18 September, 2020, Saint-Raphaël, France
Note

ISBN för värdpublikation: 978-1-7281-5742-9, 978-1-7281-5743-6

Available from: 2020-09-04 Created: 2020-09-04 Last updated: 2022-10-31Bibliographically approved

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Satpute, Sumeet G.Mansouri, Sina SharifNikolakopoulos, George

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