Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Optimization Based Safe and Efficient Trajectory Planning in Proximity of an Asteroid
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 7th International Conference on Control, Decision and Information Technologies (CoDIT), IEEE, 2020, p. 939-945Conference paper, Published paper (Refereed)
Abstract [en]

This article focuses on a spacecraft trajectory planning algorithm that allows observation of multiple site locations on the asteroid surface, while avoiding any collision with debris objects trapped in the asteroid’s gravity field. Asteroids provide a challenging target for satellite based visual coverage missions, since they are partially illuminated, rotating, irregular shaped celestial bodies with a low but also irregular gravity field. For addressing this problem, an optimization approach for visual coverage is proposed with an objective to determine the sequence of the imaging site locations and the associated safe and fuel efficient trajectories, while considering rotational dynamics of the asteroid, changing illumination condition for each site, irregular gravity constraints of the asteroid and the safe separation distance from the moving debris object. Numerical simulations are performed to demonstrate the ability of the trajectory planner to ensure successful optimal coverage of all the desired asteroid site locations.

Place, publisher, year, edition, pages
IEEE, 2020. p. 939-945
Series
International Conference on Control, Decision and Information Technologies (CoDIT), ISSN 2576-3547, E-ISSN 2576-3555
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Control Engineering Robotics
Research subject
Onboard space systems; Automatic Control; Robotics and Artificial Intelligence
Identifiers
URN: urn:nbn:se:ltu:diva-81861DOI: 10.1109/CoDIT49905.2020.9263866Scopus ID: 2-s2.0-85098290197OAI: oai:DiVA.org:ltu-81861DiVA, id: diva2:1506725
Conference
7th International Conference on Control, Decision and Information Technologies (CoDIT'20), 29 June-2 July, 2020, Prague, Czech Republic
Note

ISBN för värdpublikation: 978-1-7281-5953-9

Available from: 2020-12-04 Created: 2020-12-04 Last updated: 2022-10-31Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Satpute, Sumeet G.Mansouri, Sina SharifNikolakopoulos, George

Search in DiVA

By author/editor
Satpute, Sumeet G.Mansouri, Sina SharifNikolakopoulos, George
By organisation
Space TechnologySignals and Systems
Other Electrical Engineering, Electronic Engineering, Information EngineeringControl EngineeringRobotics

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 31 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf