This paper presents a convex programming approach for the optimization of the full ascent trajectory of reusable launch vehicles, from lift-off to orbit payload injection, together with the soft landing of the first stage. A combination of lossless and successive convexification methods is employed to handle the nonlinear dynamics and constraints. Two strategies for the recovery of the first stage, that is, downrange landing and return-to-launch site, are discussed. Preliminary results are presented to show the effectiveness and performance of the proposed approach for a study case involving a two-stage launch vehicle.
Convex Optimization of Ascent and Powered Descent of a Reusable Launch Vehicle / Gettatelli, Federico; Benedikter, Boris; Zavoli, Alessandro; Pizzurro, Simone; Cavallini, Enrico. - (2023). (Intervento presentato al convegno AIAA Science and Technology Forum and Exposition 2023 tenutosi a National Harbor, MD, USA) [10.2514/6.2023-2644].
Convex Optimization of Ascent and Powered Descent of a Reusable Launch Vehicle
Gettatelli, Federico;Benedikter, Boris;Zavoli, Alessandro;Pizzurro, Simone;Cavallini, Enrico
2023
Abstract
This paper presents a convex programming approach for the optimization of the full ascent trajectory of reusable launch vehicles, from lift-off to orbit payload injection, together with the soft landing of the first stage. A combination of lossless and successive convexification methods is employed to handle the nonlinear dynamics and constraints. Two strategies for the recovery of the first stage, that is, downrange landing and return-to-launch site, are discussed. Preliminary results are presented to show the effectiveness and performance of the proposed approach for a study case involving a two-stage launch vehicle.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
