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DA-based nonlinear filters for spacecraft relative state estimation

DA-based nonlinear filters for spacecraft relative state estimation
DA-based nonlinear filters for spacecraft relative state estimation

Active debris removal (ADR) missions have gained increasing importance in the space community due to the necessity of reducing the number of debris jeopardizing the operative satellites. In this context, autonomous guidance, navigation and control (GNC) plays a fundamental role in the problem of rendezvous with an uncooperative target. Especially, the estimation of the relative pose and the prediction of the target attitude are crucial for safe proximity operations. Therefore, a key point for the success of ADR missions is the development of efficient algorithms capable of limiting the computational burden without losing out the necessary performance. To this aim, this study analyzes the exploitation of nonlinear filters based on differential algebra (DA). Especially, high-order numerical extended Kalman filter and unscented Kalman filter are implemented in the DA framework. The ESA’s e.deorbit mission, involving Envisat satellite, is used as reference test case. Both filters are applied to this target application and compared in terms of accuracy and computational burden.

American Institute of Aeronautics and Astronautics
Cavenago, Francesco
7555ca1e-a11f-4b43-9a3c-7d90116d4be2
Massari, Mauro
6b6f72d2-7e3a-4394-87c3-9fb0e51b75ec
Di Lizia, Pierluigi
8a0d7c21-8869-498e-95c8-41a8c8a6dd1a
Servadio, Simone
28ff7534-eb8c-48d4-aa58-27fda1437e32
Wittig, Alexander
3a140128-b118-4b8c-9856-a0d4f390b201
Cavenago, Francesco
7555ca1e-a11f-4b43-9a3c-7d90116d4be2
Massari, Mauro
6b6f72d2-7e3a-4394-87c3-9fb0e51b75ec
Di Lizia, Pierluigi
8a0d7c21-8869-498e-95c8-41a8c8a6dd1a
Servadio, Simone
28ff7534-eb8c-48d4-aa58-27fda1437e32
Wittig, Alexander
3a140128-b118-4b8c-9856-a0d4f390b201

Cavenago, Francesco, Massari, Mauro, Di Lizia, Pierluigi, Servadio, Simone and Wittig, Alexander (2018) DA-based nonlinear filters for spacecraft relative state estimation. In Space Flight Mechanics Meeting. American Institute of Aeronautics and Astronautics.. (doi:10.2514/6.2018-1964).

Record type: Conference or Workshop Item (Paper)

Abstract

Active debris removal (ADR) missions have gained increasing importance in the space community due to the necessity of reducing the number of debris jeopardizing the operative satellites. In this context, autonomous guidance, navigation and control (GNC) plays a fundamental role in the problem of rendezvous with an uncooperative target. Especially, the estimation of the relative pose and the prediction of the target attitude are crucial for safe proximity operations. Therefore, a key point for the success of ADR missions is the development of efficient algorithms capable of limiting the computational burden without losing out the necessary performance. To this aim, this study analyzes the exploitation of nonlinear filters based on differential algebra (DA). Especially, high-order numerical extended Kalman filter and unscented Kalman filter are implemented in the DA framework. The ESA’s e.deorbit mission, involving Envisat satellite, is used as reference test case. Both filters are applied to this target application and compared in terms of accuracy and computational burden.

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More information

e-pub ahead of print date: 7 January 2018
Published date: 8 January 2018
Venue - Dates: Space Flight Mechanics Meeting, 2018, Kissimmee, United States, 2018-01-08 - 2018-01-12

Identifiers

Local EPrints ID: 419799
URI: https://eprints.soton.ac.uk/id/eprint/419799
PURE UUID: eff022ac-4f2f-493b-8743-bb226d23d658
ORCID for Alexander Wittig: ORCID iD orcid.org/0000-0002-4594-0368

Catalogue record

Date deposited: 20 Apr 2018 16:30
Last modified: 14 Mar 2019 01:25

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