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Robust Motion Prediction of a Free-Tumbling Satellite with On-Ground Experimental Validation

Lampariello, Roberto and Mishra, Hrishik and Oumer, Nassir W. and Peters, Jan (2021) Robust Motion Prediction of a Free-Tumbling Satellite with On-Ground Experimental Validation. Journal of Guidance, Control, and Dynamics, 44 (10), pp. 1777-1793. American Institute of Aeronautics and Astronautics (AIAA). doi: 10.2514/1.G005745. ISSN 1533-3884.

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Official URL: https://arc.aiaa.org/doi/10.2514/1.G005745


The task of approaching and capturing a free-tumbling satellite on-orbit presents open challenges for autonomous guidance and control strategies. One of these is to robustly predict the satellite's tumbling motion in view of measurement errors and of unfavorable free-body dynamic effects. A comparative study of solutions proposed in the literature is presented, considering tumbling scenarios that might offer low observability of the related parameters. To this end, this paper extends and compares nonlinear and linear least-squares batch techniques with an extendedKalman filter recursive technique to identify the necessary state and inertial parameters of a satellite for the purpose of motion prediction. These estimation methods are fed with attitude measurements generated by a model-based image-processing algorithm, which is applied to images produced on ground with two dedicated experimental facilities. It is shown that the attitude measurements present a non-Gaussian error distribution. Through experimental validation, the nonlinear least-squares method is shown to be the most robust for five representative tumbling states of the target satellite. The output of a statistical identification procedure provides an estimate of the motion prediction dispersion for long prediction times, which is a key input in robust tracking control methods.

Item URL in elib:https://elib.dlr.de/195299/
Document Type:Article
Title:Robust Motion Prediction of a Free-Tumbling Satellite with On-Ground Experimental Validation
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Lampariello, RobertoUNSPECIFIEDhttps://orcid.org/0000-0002-8479-2900UNSPECIFIED
Mishra, HrishikUNSPECIFIEDhttps://orcid.org/0000-0002-5025-2447UNSPECIFIED
Peters, JanTechnical University DarmstadtUNSPECIFIEDUNSPECIFIED
Date:20 July 2021
Journal or Publication Title:Journal of Guidance, Control, and Dynamics
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
Page Range:pp. 1777-1793
Publisher:American Institute of Aeronautics and Astronautics (AIAA)
Keywords:Parameter Identification, Extended Kalman Filter, Orbital Dynamics, On-Ground Experimental Validation
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Robotics
DLR - Research area:Raumfahrt
DLR - Program:R RO - Robotics
DLR - Research theme (Project):R - RICADOS++ [RO], R - Project RICADOS [RO]
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (since 2013)
Deposited By: Lampariello, Roberto
Deposited On:13 Jun 2023 12:01
Last Modified:20 Jun 2023 13:21

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