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Concurrent Station Keeping and Momentum Management of Geostationary Satellites
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Space Technology.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Space Technology. Institute for Aerospace Studies, University of Toronto, Toronto, Canada.ORCID iD: 0000-0003-4977-6339
2019 (English)In: The Journal of the astronautical sciences, ISSN 0021-9142, Vol. 66, no 3, p. 341-360Article in journal (Refereed) Published
Abstract [en]

This article discusses a convex-optimization-based planning method for a geostationary satellite to determine station keeping and momentum unloading maneuvers concurrently. The proposed optimization algorithm incorporates a dual-rate prediction model to address the time scaling difference between the coupled slow orbital and fast attitude dynamics. The use of combined prediction model in the optimization problem facilitates to include state constraints accounting for the desired orbital and momentum unloading requirements. Maneuver plans are determined by solving a convex optimization problem in a receding horizon control form. The main objective of the proposed algorithm is to minimize fuel consumption while managing the stored momentum, in order to maintain a satellite in a tight station keeping window and nadir pointing attitude configuration. Numerical simulations are performed to validate the proposed optimization algorithm in terms of fuel consumption and constraint enforcement.

Place, publisher, year, edition, pages
Springer, 2019. Vol. 66, no 3, p. 341-360
Keywords [en]
Concurrent maneuver planning, Geostationary satellites, Convex optimization, Nonintersecting thrusters, Electric propulsion system
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Onboard space systems
Identifiers
URN: urn:nbn:se:ltu:diva-73910DOI: 10.1007/s40295-019-00159-2ISI: 000477915000005Scopus ID: 2-s2.0-85065701623OAI: oai:DiVA.org:ltu-73910DiVA, id: diva2:1315222
Note

Validerad;2019;Nivå 2;2019-08-20 (johcin)

Available from: 2019-05-13 Created: 2019-05-13 Last updated: 2019-08-20Bibliographically approved

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Satpute, SumeetEmami, Reza

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
  • html
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  • asciidoc
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