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Performance of Optimized Scheduled Follow-up Observations for geosynchronous Space Objects Using different Genetic Algorithms

Hinze, Andreas und Fiedler, Hauke und Schildknecht, Thomas (2017) Performance of Optimized Scheduled Follow-up Observations for geosynchronous Space Objects Using different Genetic Algorithms. Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS 2017), 2017-10-19 - 2017-10-22, Hawaii, USA.

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Kurzfassung

The importance of protecting the geosynchronous region from space debris requires continuous monitoring in order to support collision avoidance operations. Accurate orbit information is prerequisite to avoid manoeuvres which might shorten the mission time. To gain this information, follow-up observations are necessary to maintain the accuracy of ephemeris data within certain limits for each catalogued object. To perform these observations in the most efficient way, optimized scheduling is a key element. In this paper the performance of two optimal scheduling algorithms is compared for an optical telescope network. Both algorithms are based on genetic algorithms and have been utilized to provide optimal solutions for catalogue maintenance. The single-objective algorithm uses the expected information content of a new observation as optimization parameter. The multi-objective algorithm is based on the successful Non-dominated Sorting Genetic Algorithm II (NSGA-II) and uses as further optimization parameter the detection probability given by the pre-estimated magnitude of the object. Both algorithms are introduced in detail and it is shown that the information content utilizing the orbit’s covariance and the information gain in an expected update is an useful optimization measure. Since the information content of a follow-up observation depends also on the observation time and oscillates slightly during the night similar information gain values might be reached at different observation epochs. It is demonstrated that an optimized phase angle might not reduce the information content of a follow-up observation substantially. To prove the concept, data of a simulated object catalogue is used to compare the effectiveness of the scheduling algorithms. Finally, first results of the performance of both algorithms using the optical telescope network are shown and analyzed.

elib-URL des Eintrags:https://elib.dlr.de/117333/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Performance of Optimized Scheduled Follow-up Observations for geosynchronous Space Objects Using different Genetic Algorithms
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Hinze, AndreasAndreas.Hinze (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Fiedler, Haukehauke.fiedler (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Schildknecht, Thomasthomas.schildknecht (at) aiub.unibe.chNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:2017
Referierte Publikation:Nein
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:veröffentlicht
Stichwörter:space debris, genetic glgorithm, optical observations, catalogue maintenance
Veranstaltungstitel:Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS 2017)
Veranstaltungsort:Hawaii, USA
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:19 Oktober 2017
Veranstaltungsende:22 Oktober 2017
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Technik für Raumfahrtsysteme
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R SY - Technik für Raumfahrtsysteme
DLR - Teilgebiet (Projekt, Vorhaben):R - Aufbau und Aktualisierung eines DLR-Katalogs für Raumfahrtrückstande (Space Debris) (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Raumflugbetrieb und Astronautentraining > Raumflugtechnologie
Hinterlegt von: Hinze, Andreas
Hinterlegt am:14 Dez 2017 16:21
Letzte Änderung:24 Apr 2024 20:21

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