TY - JOUR
T1 - A Systematic Performance-oriented Tuning for Space Exploration Descent Landing Guidance
AU - Pedro, SIMPLICIO
AU - Andres, MARCOS
AU - Eric, JOFFRE
AU - Mattia, ZAMARO
AU - Nuno, SILVA
PY - 2017/6
Y1 - 2017/6
N2 - Descent landing (DL) on planetary bodies are scientifically rewarding exploration missions but they are technically challenging due to the complex and poorly-known environment around those bodies. The standard guidance synthesis approach considers nominal conditions and applies optimal control theory to obtain guidance law gains, followed by intensive verification and validation. In this article, it is shown that the standard approach may yield gains that are not optimal once dispersions (and/or other optimal metrics) are taken into account and a tuning approach is then proposed based on a priori methodological system assessment. The proposed approach employs systematic high-fidelity simulations to generate trade-off maps on ground that can be uploaded once the spacecraft approaches the target, with its actual conditions in mind. This also provides a valuable understanding of the system dynamics towards the application of other industry-oriented tools including structured H optimisation. It is shown that this approach enables propellant consumption reductions of around 40% compared to state-of-practice tuning selections.
AB - Descent landing (DL) on planetary bodies are scientifically rewarding exploration missions but they are technically challenging due to the complex and poorly-known environment around those bodies. The standard guidance synthesis approach considers nominal conditions and applies optimal control theory to obtain guidance law gains, followed by intensive verification and validation. In this article, it is shown that the standard approach may yield gains that are not optimal once dispersions (and/or other optimal metrics) are taken into account and a tuning approach is then proposed based on a priori methodological system assessment. The proposed approach employs systematic high-fidelity simulations to generate trade-off maps on ground that can be uploaded once the spacecraft approaches the target, with its actual conditions in mind. This also provides a valuable understanding of the system dynamics towards the application of other industry-oriented tools including structured H optimisation. It is shown that this approach enables propellant consumption reductions of around 40% compared to state-of-practice tuning selections.
UR - https://www.tasc-group.com/uploads/6/1/1/9/61196919/eucass2017_tasc_nstp2_v00.pdf
U2 - 10.13009/eucass2017-152
DO - 10.13009/eucass2017-152
M3 - Article (Academic Journal)
JO - Proceedings of the 7th European Conference for Aeronautics and Space Sciences. Milano, Italy, 3-6 july 2017
JF - Proceedings of the 7th European Conference for Aeronautics and Space Sciences. Milano, Italy, 3-6 july 2017
ER -