Saponara, M., Barrena V., Bemporad, A., Hartley, E.N., Maciejowski, J.M.,
Richards, A.G., Tramutola, A. & Trodden, P.A.,
Model predictive control application to spacecraft rendezvous in Mars
sample return scenario,
in Proc. European Conference for Aero-Space Sciences (EUCASS), 2011.
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.
Links: (PREPRINT)
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.
Links: (PREPRINT)