RT Journal Article
T1 Robust Aircraft Trajectory Planning under Wind Uncertainty using Optimal Control
A1 González Arribas, Daniel
A1 Soler Arnedo, Manuel Fernando
A1 Sanjurjo Rivo, Manuel
AB Uncertainty in aircraft trajectory planning and prediction generates major challenges for the future Air Traffic Management system. Therefore, understanding and managing uncertainty will be necessary to realize improvements in air traffic capacity, safety, efficiency and environmental impact. Meteorology (and, in particular, winds)represents one of the most relevant sources of uncertainty. In the present work, a framework based on optimal control is introduced to address the problem of robust and efficient trajectory planning under wind forecast uncertainty, which is modeled with probabilistic forecasts generated by Ensemble Prediction Systems. The proposed methodology is applied to a flight p l anning s c enario u n der a f r ee-routing operational paradigm and employed to compute trajectories for different sets of user preferences, exploring the trade-off between average flight cost and p r edictability. Results show howthe impact of wind forecast uncertainty in trajectory predictability at a pre-tactical planning horizon can be not only quantified, b ut a l so r educed t hrough t he application of the proposed approach.
PB American Institute of Aeronautics and Astronautics
SN 0731-5090
YR 2018
FD 2018
LK https://hdl.handle.net/10016/26873
UL https://hdl.handle.net/10016/26873
LA eng
NO This work has been partially supported by project TBO-MET project, which has receivedfunding from the SESAR JU under grant agreement No 699294 under the European Union’s Horizon 2020 research and innovation program. This work is also partially supported by the Spanish Government through Project entitled Analysis and optimisation of aircraft trajectories under the effects of meteorological uncertainty (TRA2014-58413-C2-2-R); this project has been funded under R&D&I actions of Programa Estatal de Investigación, Desarrollo e Innovación Orientada a los Retos de la Sociedad (call 2014).
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RD 27 jul. 2024