Model predictive control (MPC) is receiving increasing attention in space applications, as a key technology for enhancing autonomy of the flight control system. Sum-of-norms formulations are specifically suited to this context, because they allow to optimize meaningful performance figures and to promote control sparsity. This brief presents a sum-of-norms MPC scheme for linear periodically time-varying systems. Closed-loop stability is proven by suitably defining periodic sequences of terminal weights and terminal sets. The proposed solution is applied to a rendezvous case study involving periodic dynamics due to geopotential effects and solar eclipses.
Leomanni, M., Bianchini, G., Garulli, A., Quartullo, R. (2022). Sum-of-Norms Periodic Model Predictive Control for Space Rendezvous. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 30(3), 1311-1318 [10.1109/TCST.2021.3095390].
Sum-of-Norms Periodic Model Predictive Control for Space Rendezvous
Leomanni, Mirko;Bianchini, Gianni
;Garulli, Andrea;Quartullo, Renato
2022-01-01
Abstract
Model predictive control (MPC) is receiving increasing attention in space applications, as a key technology for enhancing autonomy of the flight control system. Sum-of-norms formulations are specifically suited to this context, because they allow to optimize meaningful performance figures and to promote control sparsity. This brief presents a sum-of-norms MPC scheme for linear periodically time-varying systems. Closed-loop stability is proven by suitably defining periodic sequences of terminal weights and terminal sets. The proposed solution is applied to a rendezvous case study involving periodic dynamics due to geopotential effects and solar eclipses.File | Dimensione | Formato | |
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https://hdl.handle.net/11365/1150032