This paper considers the problem of designing a control strategy for proximity operations of space systems. The considered setup is realistic, and is based on a model derived and validated on an experimental test-bed. Parametric uncertainties due to the mass variations during operations, linearization errors, and disturbances due to external space environment are simultaneously considered. The proposed control strategy is based on a novel framework for stochastic model predictive control (SMPC), extending the results based on offline sampling strategies previously developed.

A general sampling-based SMPC approach to spacecraft proximity operations / Mammarella, Martina; Capello, Elisa; Lorenzen, M.; Dabbene, Fabrizio; Allgower, F.. - ELETTRONICO. - (2017). ((Intervento presentato al convegno 56th IEEE Conference on Decision and Control 2017 tenutosi a Melbourne, Australia nel 12-15 Dicembre 2017.

A general sampling-based SMPC approach to spacecraft proximity operations

MAMMARELLA, MARTINA;CAPELLO, ELISA;DABBENE, Fabrizio;
2017

Abstract

This paper considers the problem of designing a control strategy for proximity operations of space systems. The considered setup is realistic, and is based on a model derived and validated on an experimental test-bed. Parametric uncertainties due to the mass variations during operations, linearization errors, and disturbances due to external space environment are simultaneously considered. The proposed control strategy is based on a novel framework for stochastic model predictive control (SMPC), extending the results based on offline sampling strategies previously developed.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2687045
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