Optimal reconfiguration of formation flying spacecraft decentralized approach

Oliver Junge; Jerrold E. Marsden; Sina Ober-Blöbaum

Optimal reconfiguration of formation flying spacecraft decentralized approach

Oliver Junge, Jerrold E. Marsden, Sina Ober-Blöbaum

Professur für Numerik komplexer Systeme

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

27 Zitate (Scopus)

Abstract

This paper introduces a hierarchical, decentralized, and parallelizable method for dealing with optimization problems with many agents. It is theoretically based on a hierarchical optimization theorem that establishes the equivalence of two forms of the problem, and this idea is implemented using DMOC (Discrete Mechanics and Optimal Control). The result is a method that is scalable to certain optimization problems for large numbers of agents, whereas the usual "monolithic" approach can only deal with systems with a rather small number of degrees of freedom. The method is illustrated with the example of deployment of spacecraft, motivated by the Darwin (ESA) and Terrestrial Planet Finder (NASA) missions.

Originalsprache	Englisch
Titel	Proceedings of the 45th IEEE Conference on Decision and Control 2006, CDC
Herausgeber (Verlag)	Institute of Electrical and Electronics Engineers Inc.
Seiten	5210-5215
Seitenumfang	6
ISBN (Print)	1424401712, 9781424401710
Publikationsstatus	Veröffentlicht - 2006
Veranstaltung	45th IEEE Conference on Decision and Control 2006, CDC - San Diego, CA, USA/Vereinigte Staaten Dauer: 13 Dez. 2006 → 15 Dez. 2006

Publikationsreihe

Name	Proceedings of the IEEE Conference on Decision and Control
ISSN (Print)	0743-1546
ISSN (elektronisch)	2576-2370

Konferenz

Konferenz	45th IEEE Conference on Decision and Control 2006, CDC
Land/Gebiet	USA/Vereinigte Staaten
Ort	San Diego, CA
Zeitraum	13/12/06 → 15/12/06

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title = "Optimal reconfiguration of formation flying spacecraft decentralized approach",

abstract = "This paper introduces a hierarchical, decentralized, and parallelizable method for dealing with optimization problems with many agents. It is theoretically based on a hierarchical optimization theorem that establishes the equivalence of two forms of the problem, and this idea is implemented using DMOC (Discrete Mechanics and Optimal Control). The result is a method that is scalable to certain optimization problems for large numbers of agents, whereas the usual {"}monolithic{"} approach can only deal with systems with a rather small number of degrees of freedom. The method is illustrated with the example of deployment of spacecraft, motivated by the Darwin (ESA) and Terrestrial Planet Finder (NASA) missions.",

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Junge, O, Marsden, JE & Ober-Blöbaum, S 2006, Optimal reconfiguration of formation flying spacecraft decentralized approach. in Proceedings of the 45th IEEE Conference on Decision and Control 2006, CDC., 4177352, Proceedings of the IEEE Conference on Decision and Control, Institute of Electrical and Electronics Engineers Inc., S. 5210-5215, 45th IEEE Conference on Decision and Control 2006, CDC, San Diego, CA, USA/Vereinigte Staaten, 13/12/06.

Optimal reconfiguration of formation flying spacecraft decentralized approach. / Junge, Oliver; Marsden, Jerrold E.; Ober-Blöbaum, Sina.
Proceedings of the 45th IEEE Conference on Decision and Control 2006, CDC. Institute of Electrical and Electronics Engineers Inc., 2006. S. 5210-5215 4177352 (Proceedings of the IEEE Conference on Decision and Control).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

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AB - This paper introduces a hierarchical, decentralized, and parallelizable method for dealing with optimization problems with many agents. It is theoretically based on a hierarchical optimization theorem that establishes the equivalence of two forms of the problem, and this idea is implemented using DMOC (Discrete Mechanics and Optimal Control). The result is a method that is scalable to certain optimization problems for large numbers of agents, whereas the usual "monolithic" approach can only deal with systems with a rather small number of degrees of freedom. The method is illustrated with the example of deployment of spacecraft, motivated by the Darwin (ESA) and Terrestrial Planet Finder (NASA) missions.

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Optimal reconfiguration of formation flying spacecraft decentralized approach

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