Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/20.500.11765/11801
Robust aircraft trajectory planning under uncertain convective environments with optimal control and rapidly developing thunderstorms
Título : Robust aircraft trajectory planning under uncertain convective environments with optimal control and rapidly developing thunderstorms
Autor : González Arribas, DanielSoler, ManuelSanjurjo Rivo, ManuelKamgarpour, MaryamSimarro Grande, Juan Pablo ORCID SCOPUSID Autor AEMET
Palabras clave : Optimal control; Robust planning; Convective weather; Aircraft trajectory planning
Fecha de publicación : 2019
Editor: Elsevier
Citación : Aerospace Science and Technology. 2019, 89, p. 445-459
Versión del editor: https://dx.doi.org/10.1016/j.ast.2019.03.051
Resumen : Convective weather, and thunderstorm development in particular, represents a major source of disruption, delays and safety hazards in the Air Traffic Management system. Thunderstorms are challenging to forecast and evolve on relatively rapid timescales; therefore, aircraft trajectory planning tools need to consider the uncertainty in the forecasted evolution of these convective phenomena. In this work, we use data from a satellite-based product, Rapidly Developing Thunderstorms, to estimate a model of the uncertain evolution of thunderstorms. We then introduce a methodology based on numerical optimal control to generate avoidance trajectories under uncertain convective weather evolution. We design a randomized procedure to initialize the optimal control problem, explore the different resulting local optima, and identify the best trajectory. Finally, we demonstrate the proposed methodology on a realistic test scenario, employing actual forecast data and an aircraft performance model.
Patrocinador: This work is supported by the Spanish Government through Project entitled Analysis and optimisation of aircraft trajectories under the e_ects of meteorological uncertainty (TRA2014-58413-C2-2-R); this project has been funded under R&D&I actions of Programa Estatal de Investigaci_on, Desarrollo e Innovaci_on Orientada a los Retos de la Sociedad (call 2014).
URI : http://hdl.handle.net/20.500.11765/11801
ISSN : 1270-9638
Colecciones: Artículos científicos 2019-2022


Ficheros en este ítem:
  Fichero Descripción Tamaño Formato  
Robust_Aircraft_Gonza...
1,54 MBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo del ítem



Los ítems de Arcimis están protegidos por una Licencia Creative Commons, salvo que se indique lo contrario.

Repositorio Arcimis
Nota Legal Contacto y sugerencias