Saponara, M., Barrena, V., Bemporad, A. et al. (5 more authors) (2013) Model predictive control application to spacecraft rendezvous in mars sample return scenario. In: Vallet, C., Choukroun, D., Philippe, C., Balas, G., Nebylov, A. and Yanova, O., (eds.) Progress in Flight Dynamics, Guidance, Navigation, Control, Fault Detection, and Avionics. Progress in Flight Dynamics, Guidance, Navigation, Control, Fault Detection, and Avionics, 04-08 Jul 2011, St. Petersburg, Russia. EDP Sciences , 137- 158. ISBN 978-2-7598-0878-6
Abstract
Model Predictive Control (MPC) is an optimization-based control strategy that is considered extremely attractive in the autonomous space rendezvous scenarios. The Online Recon¦guration Control System and Avionics Architecture (ORCSAT) study addresses its applicability in Mars Sample Return (MSR) mission, including the implementation of the developed solution in a space representative avionic architecture system. With respect to a classical control solution High-integrity Autonomous RendezVous and Docking control system (HARVD), MPC allows a signi¦cant performance improvement both in trajectory and in propellant save. Furthermore, thanks to the online optimization, it allows to identify improvements in other areas (i. e., at mission de¦nition level) that could not be known a priori.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © Owned by the authors, published by EDP Sciences, 2013. This is an Open Access article distributed under the terms of the Creative Commons Attribution License 2.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 05 Oct 2015 16:19 |
Last Modified: | 24 Jul 2024 10:15 |
Status: | Published |
Publisher: | EDP Sciences |
Refereed: | Yes |
Identification Number: | 10.1051/eucass/201306137 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:90478 |