Publication: Robust aircraft trajectory planning under uncertain convective environments with optimal control and rapidly developing thunderstorms
dc.affiliation.dpto | UC3M. Departamento de Ingeniería Aeroespacial | es |
dc.affiliation.grupoinv | UC3M. Grupo de Investigación: Ingeniería Aeroespacial | es |
dc.contributor.author | González Arribas, Daniel | |
dc.contributor.author | Soler Arnedo, Manuel Fernando | |
dc.contributor.author | Sanjurjo Rivo, Manuel | |
dc.contributor.author | Kamgarpour, Maryam | |
dc.contributor.author | Simarro Grande, Juan Pablo | |
dc.date.accessioned | 2021-02-17T11:41:03Z | |
dc.date.available | 2021-06-01T23:00:04Z | |
dc.date.issued | 2019-06-01 | |
dc.description.abstract | 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. | en |
dc.description.sponsorship | This work is 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)12; 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). | en |
dc.description.status | Publicado | es |
dc.format.extent | 14 | |
dc.identifier.bibliographicCitation | Aerospace Science and Technology, (2019), v. 89, pp.: 445-459. | en |
dc.identifier.doi | https://doi.org/10.1016/j.ast.2019.03.051 | |
dc.identifier.issn | 1270-9638 | |
dc.identifier.publicationfirstpage | 445 | |
dc.identifier.publicationlastpage | 459 | |
dc.identifier.publicationtitle | AEROSPACE SCIENCE AND TECHNOLOGY | en |
dc.identifier.publicationvolume | 89 | |
dc.identifier.uri | https://hdl.handle.net/10016/31949 | |
dc.identifier.uxxi | AR/0000023860 | |
dc.language.iso | eng | en |
dc.publisher | Elsevier | |
dc.relation.projectID | Gobierno de España. TRA2014-58413-C2-2-R | es |
dc.rights | © 2019 Published by Elsevier Masson SAS. | en |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 España | * |
dc.rights.accessRights | open access | en |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.subject.eciencia | Aeronáutica | es |
dc.subject.other | Optimal control | en |
dc.subject.other | Robust planning | en |
dc.subject.other | Convective weather | en |
dc.subject.other | Aircraft trajectory planning | en |
dc.title | Robust aircraft trajectory planning under uncertain convective environments with optimal control and rapidly developing thunderstorms | en |
dc.type | research article | * |
dc.type.hasVersion | AM | * |
dspace.entity.type | Publication |
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