Model Predictive Control application to spacecraft rendezvous in Mars Sample Return scenario

M. Saponara; V Barrena; A. Bemporad; E. Hartley; J. Maciejowski; AG Richards; A. Tramutola; PA Trodden

Model Predictive Control application to spacecraft rendezvous in Mars Sample Return scenario

M. Saponara, V Barrena, A. Bemporad, E. Hartley, J. Maciejowski, AG Richards, A. Tramutola, PA Trodden

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

Abstract

Model Predictive Control (MPC) is an optimization-based control strategy that is considered extremely attractive in the autonomous space rendezvous scenarios. The ORCSAT study addresses its applicability in Mars Sample Return mission, including the implementation of the developed solution in a space representative avionic architecture system. With respect to a classical control solution (HARVD), MPC allows a significant performance improvement both in trajectory and in propellant save. Furthermore, thanks to the on-line optimization, it allows to identify improvements in other areas (i.e.at mission definition level) that could not be known a-priori.

Translated title of the contribution	Model Predictive Control application to spacecraft rendezvous in Mars Sample Return scenario
Original language	English
Title of host publication	Proceedings of the European Conference for Aero-Space Sciences (EUCASS), St Petersburg, Russa
Publication status	Published - Jul 2011

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Conference Organiser: EUCASS

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title = "Model Predictive Control application to spacecraft rendezvous in Mars Sample Return scenario",

abstract = "Model Predictive Control (MPC) is an optimization-based control strategy that is considered extremely attractive in the autonomous space rendezvous scenarios. The ORCSAT study addresses its applicability in Mars Sample Return mission, including the implementation of the developed solution in a space representative avionic architecture system. With respect to a classical control solution (HARVD), MPC allows a significant performance improvement both in trajectory and in propellant save. Furthermore, thanks to the on-line optimization, it allows to identify improvements in other areas (i.e.at mission definition level) that could not be known a-priori.",

author = "M. Saponara and V Barrena and A. Bemporad and E. Hartley and J. Maciejowski and AG Richards and A. Tramutola and PA Trodden",

note = "Conference Organiser: EUCASS",

year = "2011",

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booktitle = "Proceedings of the European Conference for Aero-Space Sciences (EUCASS), St Petersburg, Russa",

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T1 - Model Predictive Control application to spacecraft rendezvous in Mars Sample Return scenario

AU - Saponara, M.

AU - Barrena, V

AU - Bemporad, A.

AU - Hartley, E.

AU - Maciejowski, J.

AU - Richards, AG

AU - Tramutola, A.

AU - Trodden, PA

N1 - Conference Organiser: EUCASS

PY - 2011/7

Y1 - 2011/7

N2 - Model Predictive Control (MPC) is an optimization-based control strategy that is considered extremely attractive in the autonomous space rendezvous scenarios. The ORCSAT study addresses its applicability in Mars Sample Return mission, including the implementation of the developed solution in a space representative avionic architecture system. With respect to a classical control solution (HARVD), MPC allows a significant performance improvement both in trajectory and in propellant save. Furthermore, thanks to the on-line optimization, it allows to identify improvements in other areas (i.e.at mission definition level) that could not be known a-priori.

AB - Model Predictive Control (MPC) is an optimization-based control strategy that is considered extremely attractive in the autonomous space rendezvous scenarios. The ORCSAT study addresses its applicability in Mars Sample Return mission, including the implementation of the developed solution in a space representative avionic architecture system. With respect to a classical control solution (HARVD), MPC allows a significant performance improvement both in trajectory and in propellant save. Furthermore, thanks to the on-line optimization, it allows to identify improvements in other areas (i.e.at mission definition level) that could not be known a-priori.

M3 - Conference Contribution (Conference Proceeding)

BT - Proceedings of the European Conference for Aero-Space Sciences (EUCASS), St Petersburg, Russa

ER -

Model Predictive Control application to spacecraft rendezvous in Mars Sample Return scenario

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