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Saponara, M., Barrena, V., Bemporad, A. et al. (5 more authors) (2013) Model predictive control application to spacecraft rendezvous in mars sample return scenario. Progress in Flight Dynamics, Guidance, Navigation, Control, Fault Detection, and Avionics, 6. 137 - 158.
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
Authors/Creators: |
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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 (http://creativecommons.org/licenses/by-nc/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: | 05 Oct 2015 16:19 |
Published Version: | http://dx.doi.org/10.1051/eucass/201306137 |
Status: | Published |
Publisher: | EDP Sciences |
Refereed: | Yes |
Identification Number: | https://doi.org/10.1051/eucass/201306137 |
Available Versions of this Item
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