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Optimal trajectory planning of a satellite for in-orbit experiments on ISS

Capotondi, Marco (2019) Optimal trajectory planning of a satellite for in-orbit experiments on ISS. DLR-Interner Bericht. DLR-IB-RM-OP-2019-185. Master's. Sapienza, University of Rome.

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Optimal trajectory planning is considered as a solved problem in robotics for offline situations. On the other hand, for real time operation of an implemented solution on a physical robot, the computational time for the task execution may still be prohibitive. The goal of this work, developed at the Deutsches Zentrum für Luft- und Raumfahrt(DLR), was to implement procedures that could be used in a space mission, considering also time as a resource. For this we developed two methodologies in order to shift the heavy part of the computation from an online to an offline context. The first approach uses a grid in the task space to use as Look Up table for generating initial guess for a lighter online optimization, while the second approach provides an initial guess for the online optimization through Multivariate Regression. Results are presented for a satellite maneuver in an in-orbit experiment planned on the ISS.

Item URL in elib:https://elib.dlr.de/132411/
Document Type:Monograph (DLR-Interner Bericht, Master's)
Title:Optimal trajectory planning of a satellite for in-orbit experiments on ISS
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Capotondi, MarcoSapienza, University of RomeUNSPECIFIEDUNSPECIFIED
Refereed publication:Yes
Open Access:Yes
Keywords:trajectory planning, ISS
Institution:Sapienza, University of Rome
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - On-Orbit Servicing [SY]
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (since 2013)
Deposited By: Beinhofer, Gabriele
Deposited On:13 Dec 2019 10:22
Last Modified:13 Dec 2019 10:22

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