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AI-based Robust and Failure-Tolerant Processes for In-Orbit Manufacturing of Modular Small Satellites

Mühlbauer, Maximilian Sebastian und Leutert, Florian und Plesker, Christian und Wiedmann, Luis Xaver und Giordano, Alessandro Massimo und Silverio, Joao und Hulin, Thomas und Stulp, Freek und Voges, Jonas und Knobloch, Robert und Schilling, Klaus und Schleich, Benjamin und Albu-Schäffer, Alin Olimpiu (2024) AI-based Robust and Failure-Tolerant Processes for In-Orbit Manufacturing of Modular Small Satellites. In: 75th International Astronautical Congress, IAC 2024. International Astronautical Congress (IAC), 2024-10-14 - 2024-10-18, Milan, Italy. ISSN 0074-1795.

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Offizielle URL: https://iafastro.directory/iac/paper/id/85912/summary/

Kurzfassung

Advances in small satellite architecture and production processes allow for an increasingly robust automated assembly, enabling the vision of an in-orbit factory. The in-orbit production of satellites promises many advantages: For instance, satellites can be commissioned much faster as they are produced directly at their location of deployment. Also, mechanical requirements are lower as the structure does not need to withstand the vibrations of a rocket launch. This opens new business opportunities with the just-in-time production of large fleets of individualised small satellites which are built according to specific customer needs. As direct human intervention in in-orbit factories is prohibitively expensive, the need for failure tolerant and self-recovering processes arises. The ACOR project leverages AI-based methods for the robust assembly of CubeSats and is built upon three key components: an automated integration and testing process, a failure-tolerant teleoperation interface and a Digital Process Twin (DPT) orchestrating the whole assembly with fault detection, isolation and recovery (FDIR) capabilities. The DPT is the high level decision-making authority of the In-Orbit Factory. It orchestrates the individual participants in the manufacturing process and maps the entire process virtually. Standardised interfaces to the digital twins of product and production machines and the virtual representation of the process are used to find alternative solutions in case of errors. Based on this process information the DPT also performs a long-term optimization of the whole process. The actual assembly of satellites from modular components is performed by a force-sensitive torque-controlled robot. Several FDIR approaches are integrated into individual production steps to supervise the production execution and achieve the required robustness and adaptivity of the process. Automated testing and inspection of individual satellite modules, subsystems up to the whole assembly is seamlessly integrated and performed during the production process to ensure a fully functional satellite at the end of the assembly. A bilateral teleoperation system with force feedback helps to cope with unforseen circumstances. Virtual Fixtures are used to generate guiding forces for the human operator. A probabilistic formulation of these fixtures allows to automatically select the most appropriate fixture and scale the guidance level, balancing human control with automation. This system allows to directly control parts of the assembly, either performing steps that are not automated yet or by completing tasks where the automation has failed. This paper outlines the concept of our robust and failure-tolerant in-orbit factory and presents results achieved with our approach, combining automated and teleoperated assembly with a Digital Process Twin.

elib-URL des Eintrags:https://elib.dlr.de/206962/
Dokumentart:Konferenzbeitrag (Anderer)
Titel:AI-based Robust and Failure-Tolerant Processes for In-Orbit Manufacturing of Modular Small Satellites
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Mühlbauer, Maximilian SebastianMaximilian.Muehlbauer (at) dlr.dehttps://orcid.org/0000-0002-7635-0248NICHT SPEZIFIZIERT
Leutert, Florianflorian.leutert (at) telematik-zentrum.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Plesker, ChristianTechnical University of Darmstadthttps://orcid.org/0000-0002-5083-7613NICHT SPEZIFIZIERT
Wiedmann, Luis Xaverluis.wiedmann (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Giordano, Alessandro MassimoAlessandro.Giordano (at) dlr.dehttps://orcid.org/0000-0003-2291-7525NICHT SPEZIFIZIERT
Silverio, Joaojoao.silverio (at) dlr.dehttps://orcid.org/0000-0003-1428-8933NICHT SPEZIFIZIERT
Hulin, ThomasThomas.Hulin (at) dlr.dehttps://orcid.org/0000-0002-3814-075XNICHT SPEZIFIZIERT
Stulp, FreekFreek.Stulp (at) dlr.dehttps://orcid.org/0000-0001-9555-9517NICHT SPEZIFIZIERT
Voges, JonasTechnical University of DarmstadtNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Knobloch, RobertTechnical University of DarmstadtNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Schilling, Klausklaus.schilling (at) telematik-zentrum.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Schleich, BenjaminTechnical University of Darmstadthttps://orcid.org/0000-0002-3638-4179NICHT SPEZIFIZIERT
Albu-Schäffer, Alin OlimpiuAlin.Albu-Schaeffer (at) dlr.dehttps://orcid.org/0000-0001-5343-9074168667745
Datum:Oktober 2024
Erschienen in:75th International Astronautical Congress, IAC 2024
Referierte Publikation:Nein
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
ISSN:0074-1795
Status:veröffentlicht
Stichwörter:AI, In-Orbit Factory, Teleoperation, Digital Twin, AIT, Robotic Manufacturing
Veranstaltungstitel:International Astronautical Congress (IAC)
Veranstaltungsort:Milan, Italy
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:14 Oktober 2024
Veranstaltungsende:18 Oktober 2024
Veranstalter :International Astronautical Federation (IAF)
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Robotik
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R RO - Robotik
DLR - Teilgebiet (Projekt, Vorhaben):R - Telerobotik, R - Erklärbare Robotische KI
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Robotik und Mechatronik (ab 2013)
Hinterlegt von: Mühlbauer, Maximilian Sebastian
Hinterlegt am:01 Okt 2024 12:46
Letzte Änderung:01 Okt 2024 12:46

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