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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.



