TY - GEN
T1 - Design and development of an aerobraking trajectory simulation tool
AU - Falcone, Giusy
AU - Putnam, Zachary R.
N1 - Publisher Copyright:
© 2021, American Institute of Aeronautics and Astronautics Inc, AIAA. All Rights Reserved.
PY - 2021
Y1 - 2021
N2 - The Aerobraking Trajectory Simulator is a Python-based modeling and simulation tool developed to assess flight performance for the aerobraking mission set. The tool is open-source for the benefit of the entire aerospace community. The simulator can be used to model an entire aerobraking campaign, a single orbit, or a single atmospheric passage around Earth, Mars, and Venus, while providing estimates of important flight performance parameters, including dynamic pressure, heat rate, and energy depletion rate. The computational efficiency of the tool also enables uncertainty analysis through Monte Carlo techniques. The built-in modularity of the tool enables selection of physical models from a range of built-in options, including a method to efficiently incorporate complex atmospheric models, such as Mars-GRAM 2010. The development of the simulation is discussed including modeling assumptions. Example trajectory analyses are presented to illustrate the effectiveness of the tool, including, an Odysseylike mission with and without the use of trajectory control and a blunted-cone ballistic flight.
AB - The Aerobraking Trajectory Simulator is a Python-based modeling and simulation tool developed to assess flight performance for the aerobraking mission set. The tool is open-source for the benefit of the entire aerospace community. The simulator can be used to model an entire aerobraking campaign, a single orbit, or a single atmospheric passage around Earth, Mars, and Venus, while providing estimates of important flight performance parameters, including dynamic pressure, heat rate, and energy depletion rate. The computational efficiency of the tool also enables uncertainty analysis through Monte Carlo techniques. The built-in modularity of the tool enables selection of physical models from a range of built-in options, including a method to efficiently incorporate complex atmospheric models, such as Mars-GRAM 2010. The development of the simulation is discussed including modeling assumptions. Example trajectory analyses are presented to illustrate the effectiveness of the tool, including, an Odysseylike mission with and without the use of trajectory control and a blunted-cone ballistic flight.
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U2 - 10.2514/6.2021-1065
DO - 10.2514/6.2021-1065
M3 - Conference contribution
AN - SCOPUS:85100307289
SN - 9781624106095
T3 - AIAA Scitech 2021 Forum
SP - 1
EP - 19
BT - AIAA Scitech 2021 Forum
PB - American Institute of Aeronautics and Astronautics Inc, AIAA
T2 - AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021
Y2 - 11 January 2021 through 15 January 2021
ER -