In this paper a generalized hp method is combined with pseudospectral methods and convex optimization to provide a high-accuracy, real-time capable method able to compute optimal trajectories for planetary powered descent and landing phases of a spacecraft. The benefits of the method are demonstrated for the Mars Science Laboratory study case. Numerical simulations show that the method provides a suitable alternative to the standard convex approaches, and represents a good trade-off between accuracy and computational speed.

Sagliano, M. (2018). Generalized hp pseudospectral convex programming for powered descent and landing. American Institute of Aeronautics and Astronautics Inc, AIAA [10.2514/6.2018-1870].

Generalized hp pseudospectral convex programming for powered descent and landing

Sagliano M.
2018

Abstract

In this paper a generalized hp method is combined with pseudospectral methods and convex optimization to provide a high-accuracy, real-time capable method able to compute optimal trajectories for planetary powered descent and landing phases of a spacecraft. The benefits of the method are demonstrated for the Mars Science Laboratory study case. Numerical simulations show that the method provides a suitable alternative to the standard convex approaches, and represents a good trade-off between accuracy and computational speed.
2018
AIAA Guidance, Navigation, and Control Conference, 2018
1
25
Sagliano, M. (2018). Generalized hp pseudospectral convex programming for powered descent and landing. American Institute of Aeronautics and Astronautics Inc, AIAA [10.2514/6.2018-1870].
Sagliano, M.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1041817
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