WEMSgen: a real-time weather modelling library for on-board trajectory optimisation and planning

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dc.contributor	Universitat Politècnica de Catalunya. Departament de Física
dc.contributor	Universitat Politècnica de Catalunya. ICARUS - Intelligent Communications and Avionics for Robust Unmanned Aerial Systems
dc.contributor.author	Prats Menéndez, Xavier
dc.contributor.author	Vilardaga García-Cascón, Santi
dc.contributor.author	Isanta, Roger
dc.contributor.author	Bas, Isidro
dc.contributor.author	Birling, Florent
dc.date	2015
dc.identifier.citation	Prats, X., Vilardaga, S., Isanta, R., Bas, I., Birling, F. WEMSgen: a real-time weather modelling library for on-board trajectory optimisation and planning. A: Digital Avionics Systems Conference. "Proceedings of the 34th Digital Avionics Systems Conference". Praga: Institute of Electrical and Electronics Engineers (IEEE), 2015.
dc.identifier.uri	http://hdl.handle.net/2117/81030
dc.language.iso	eng
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Aeronàutica i espai
dc.subject	Mathematical optimisation
dc.subject	Mathematical optimisation
dc.subject	Optimització matemàtica
dc.title	WEMSgen: a real-time weather modelling library for on-board trajectory optimisation and planning
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	Best paper of session award at 2015 IEEE/AIAA 34th Digital Avionics Systems Conference (DASC), September 2015, Prague, Czech Republic
dc.description.abstract	WEMSgen is a stand-alone application devel- oped within the Clean Sky FASTOP (Fast Opti- miser for continuous descent approaches) project that is capable to load weather data in standard GRIB (General Regularly-distributed Information in Binary form) files and generate piece-wise polynomial fitting functions that can be used in a latter stage in trajectory planning and/or optimisation algorithms. Assuming a known lateral flight route, meteorological input data (temperature, pressure and wind field) is fitted into cubic B-splines as a function of the aircraft altitude and its distance to the runway threshold. WEMSgen can be queried in real-time by any process that needs weather data. Thus, besides being used for trajec- tory planning or optimisation algorithms, it also can feed aircraft simulation or visualisation applications, among other. WEMSgen has been successfully used and validated in a flight simulation experiment using the Generic Research Aircraft Cockpit Environment (GRACE) at the National Aerospace Laboratory of The Netherlands (NLR)
dc.description.abstract	Award-winning

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