Mixed integer (non)linear approaches for the satellite constellation design problem

In this paper, we propose mathematical optimization models to solve the satellite constellation design problem for discontinuous coverage. In such a design problem, the aim is to determine the minimal number of satellites (and, incidentally, their 3D placements) in order to observe a fixed Earth reg...

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Veröffentlicht in:Optimization and engineering Jg. 24; H. 4; S. 2299 - 2320
Hauptverfasser: Mencarelli, Luca, Floquet, Julien, Georges, Frédéric, Grenier, Dominique
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.12.2023
Springer Verlag
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ISSN:1389-4420, 1573-2924
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Abstract In this paper, we propose mathematical optimization models to solve the satellite constellation design problem for discontinuous coverage. In such a design problem, the aim is to determine the minimal number of satellites (and, incidentally, their 3D placements) in order to observe a fixed Earth region within a given revisiting time. Two Mixed Integer Nonlinear formulations are introduced. The first one is a feasibility problem based on the direct mathematical definition of pixel observability. The second one consists in introducing a set of indicator variables which specify if a satellite observes a pixel at a given time-stamp. In order to obtain a linear problem, the possible positions of the satellites are discretized. Finally, computational results show the potential and limitations of the proposed approaches.
AbstractList In this paper, we propose mathematical optimization models to solve the satellite constellation design problem for discontinuous coverage. In such a design problem, the aim is to determine the minimal number of satellites (and, incidentally, their 3D placements) in order to observe a fixed Earth region within a given revisiting time. Two Mixed Integer Nonlinear formulations are introduced. The first one is a feasibility problem based on the direct mathematical definition of pixel observability. The second one consists in introducing a set of indicator variables which specify if a satellite observes a pixel at a given time-stamp. In order to obtain a linear problem, the possible positions of the satellites are discretized. Finally, computational results show the potential and limitations of the proposed approaches.
In this paper, we propose mathematical optimization models to solve the satellite constellation design problem for discontinuous coverage. In such a design problem, the aim is to determine the minimal number of satellites (and, incidentally, their 3D placements) in order to observe a fixed Earth region within a given revisiting time. Two Mixed Integer Nonlinear formulations are introduced. The first one is a feasibility problem based on the direct mathematical definition of pixel observability. The second one consists in introducing a set of indicator variables which specify if a satellite observes a pixel at a given time-stamp. In order to obtain a linear problem, the possible positions of the satellites are discretized. Finally, computational results show the potential and limitations of the proposed approaches.
Author Floquet, Julien
Georges, Frédéric
Grenier, Dominique
Mencarelli, Luca
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  surname: Mencarelli
  fullname: Mencarelli, Luca
  email: luca.mencarelli@ensta-paris.fr
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  givenname: Julien
  surname: Floquet
  fullname: Floquet, Julien
  organization: DTIS, ONERA, Université Paris Saclay
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  givenname: Frédéric
  surname: Georges
  fullname: Georges, Frédéric
  organization: DTIS, ONERA, Université Paris Saclay
– sequence: 4
  givenname: Dominique
  surname: Grenier
  fullname: Grenier, Dominique
  organization: DTIS, ONERA, Université Paris Saclay
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Cites_doi 10.2514/1.A33689
10.1155/2017/1235692
10.1007/s10569-017-9811-7
10.1177/1063293X18804006
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ContentType Journal Article
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Issue 4
Keywords Discontinuous coverage
Satellite constellation design
Revisiting time
Mixed integer nonlinear and linear programming
DISCONTINUOUS COVERAGE
SATELLITE CONSTELLATION DESIGN
REVISITING TIME
MIXED INTEGER NONLINEAR AND LINEAR PROGRAMMING
Language English
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PublicationSubtitle International Multidisciplinary Journal to Promote Optimization Theory & Applications in Engineering Sciences
PublicationTitle Optimization and engineering
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Wang L, Wang Y, Chen K, Zhang H (2008) Optimization of regional coverage reconnaissance satellite constellation by NSGA-II algorithm. In: 2008 International conference on intelligent computation technology and automation (ICICTA), pp 660–664
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Hitomi N, Selva D (2018) Constellation optimization using an evolutionary algorithm with a variable-length chromosome. In: 2018 IEEE aerospace conference, pp 1–12
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LudersRSatellite networks for continuous zonal coverageARSJ196131217910.2514/8.5422
ZhangCJinJKuangLYanJLeo constellation design methodology for observing multi-targetsAstrodynamics2017212113110.1007/s42064-017-0015-4
Lang T, Hanson J (1984) Orbital constellations which minimize revisit time. In: Astrodynamics 1983. Proceedings of the conference, August 22–25, 1983, Lake Placid, NY, USA, pp 1071–1086
ChenXDaiGReineltGWangMA semi-analytical method for periodic earth coverage satellites optimizationIEEE Commun Lett201722353453710.1109/LCOMM.2017.2780107
Lee H, Shimizu S, Yoshikawa S, Ho K (2020) Satellite constellation pattern optimization for complex regional coverage. J Spacecr Rocket 57(6)
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References_xml – reference: Wang L, Wang Y, Chen K, Zhang H (2008) Optimization of regional coverage reconnaissance satellite constellation by NSGA-II algorithm. In: 2008 International conference on intelligent computation technology and automation (ICICTA), pp 660–664
– reference: Hitomi N, Selva D (2018) Constellation optimization using an evolutionary algorithm with a variable-length chromosome. In: 2018 IEEE aerospace conference, pp 1–12
– reference: Frayssinhes E (1996) Investigating new satellite constellation geometries with genetic algorithms,. In: Astrodynamics conference, July 29–31, 1996, San Diego, CA, USA
– reference: Walker J (1977) Continuous whole-earth coverage by circular-orbit satellite patterns. Tech. rep, Royal Aircraft Establishment Farnborough, United Kingdom
– reference: ZhangTShenHLiZQieHCaoJLiHYangYRestricted constellation design for regional navigation augmentationActa Astronaut201815023123910.1016/j.actaastro.2018.04.044
– reference: LudersRSatellite networks for continuous zonal coverageARSJ196131217910.2514/8.5422
– reference: Kim H, Jung O, Bang H (2007) A computational approach to reduce the revisit time using a genetic algorithm. In: 2007 International conference on control, automation and systems, pp 184–189
– reference: MortariDWilkinsMBruccoleriCThe flower constellationsJ Astronaut Sci200452107127216091110.1007/BF03546424
– reference: Vallado D, Crawford P, Hujsak R, Kelso T (2006) Revisiting spacetrack report 3. Tech. rep, American Institute of Aeronautics and Astronautics (AIAA)
– reference: Whittecar W, Ferringer M (2014) Global coverage constellation design exploration using evolutionary algorithms. In: AIAA/AAS astrodynamics specialist conference, August 4–7, 2014, San Diego, CA, USA
– reference: ZhangCJinJKuangLYanJLeo constellation design methodology for observing multi-targetsAstrodynamics2017212113110.1007/s42064-017-0015-4
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  year: 1961
  ident: 9774_CR12
  publication-title: ARSJ
  doi: 10.2514/8.5422
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Snippet In this paper, we propose mathematical optimization models to solve the satellite constellation design problem for discontinuous coverage. In such a design...
In this paper, we propose mathematical optimization models to solve the satellite constellation design problem for discontinuous coverage. In such a design...
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SubjectTerms Computer Science
Control
Engineering
Environmental Management
Financial Engineering
Mathematics
Mathematics and Statistics
Operations Research/Decision Theory
Optimization
Research Article
Systems Theory
Title Mixed integer (non)linear approaches for the satellite constellation design problem
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https://hal.science/hal-03941027
Volume 24
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