RT Conference Proceedings
T1 Robust Optimal Trajectory Planning under Uncertain Winds and Convective Risk
A1 González Arribas, Daniel
A1 Soler Arnedo, Manuel Fernando
A1 Sanjurjo Rivo, Manuel
A1 García-Heras Carretero, Javier
A1 Sacher, Daniel
A1 Gelhardt, Ulrike
A1 Lang, Juergen
A1 Hauf, Thomas
A1 Simarro, Juan
AB The existence of significant uncertainties in the models and systems required for trajectory prediction represent a major challenge for Trajectory-Based Operations concept. Weather can be considered as one of the most relevant sources of uncertainty. Understanding and managing the impact of these uncertainties is necessary in order to increase the predictability of the ATM system. We present preliminary results on robust trajectory planning in which weather is assumed to be the unique source of uncertainty. State-of-the-art forecasts from Ensemble Prediction Systems are used as input data for the wind field and to calculate convective risk. The term convective area is defined here as an area within which individual convective storms may develop, i.e., a necessary (though not sufficient) condition. An ad-hoc robustoptimal control methodology is presented. A set of Pareto-optimal trajectories is obtained for different preferences between predictability, convective risk and average efficiency.
YR 2017
FD 2017-11
LK https://hdl.handle.net/10016/26962
UL https://hdl.handle.net/10016/26962
LA eng
NO This work has been partially supported by project TBO-MET project (https://tbometh2020.com/), which has received funding from the SESAR JU under grant agreementNo 699294 under European Union’s Horizon 2020 research and innovation programme.
DS e-Archivo
RD 18 jul. 2024