This letter tackles spacecraft optimal control problems in which the cost function is defined by a sum of vector norms, in order to optimize fuel consumption while achieving sparse actuation. A model predictive control (MPC) strategy is devised for such type of problems, accounting for different spacecraft maneuvering modes. Closed-loop stability is guaranteed by a conic Lyapunov function, which is employed as a terminal cost in the formulation. A systematic method to construct such function is presented. The proposed design is compared to a standard quadratic MPC scheme on a long-range rendez-vous mission.

Leomanni, M., Bianchini, G., Garulli, A., Giannitrapani, A., Quartullo, R. (2019). Sum-of-Norms Model Predictive Control for Spacecraft Maneuvering. IEEE CONTROL SYSTEMS LETTERS, 3(3), 649-654 [10.1109/LCSYS.2019.2915152].

Sum-of-Norms Model Predictive Control for Spacecraft Maneuvering

Bianchini G.
;
Garulli A.;Giannitrapani A.;Quartullo R.
2019-01-01

Abstract

This letter tackles spacecraft optimal control problems in which the cost function is defined by a sum of vector norms, in order to optimize fuel consumption while achieving sparse actuation. A model predictive control (MPC) strategy is devised for such type of problems, accounting for different spacecraft maneuvering modes. Closed-loop stability is guaranteed by a conic Lyapunov function, which is employed as a terminal cost in the formulation. A systematic method to construct such function is presented. The proposed design is compared to a standard quadratic MPC scheme on a long-range rendez-vous mission.
2019
Leomanni, M., Bianchini, G., Garulli, A., Giannitrapani, A., Quartullo, R. (2019). Sum-of-Norms Model Predictive Control for Spacecraft Maneuvering. IEEE CONTROL SYSTEMS LETTERS, 3(3), 649-654 [10.1109/LCSYS.2019.2915152].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1081951