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dc.contributor.authorDalmau Codina, Ramon
dc.contributor.authorMelgosa Farrés, Marc
dc.contributor.authorPrats Menéndez, Xavier
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Física
dc.date.accessioned2019-01-23T16:08:40Z
dc.date.available2019-01-23T16:08:40Z
dc.date.issued2018
dc.identifier.citationDalmau, R., Melgosa, M., Prats, X. pyBADA: Easy BADA integration in Python for rapid prototyping. A: SESAR Innovation Days 2018. "8th SESAR Innovation Days". 2018, p. 16-17.
dc.identifier.urihttp://hdl.handle.net/2117/127485
dc.description.abstractThe base of aircraft data (BADA) model provides accurate modelling of aircraft performances over the complete flight envelope for flight simulation and prediction applications. BADA is based on a generic total energy model, which performance functions (e.g., drag, maximum and minimum thrust, fuel flow) are particularised for each aircraft type with coefficients included in the BADA databases. BADA has a high reputation within the academic and research world, thus it is widely used for air traffic management research applications. This poster presents the architecture and capabilities of pyBada, a Python-based software designed for the easy integration of the BADA model in trajectory simulation, prediction and optimisation applications.
dc.format.extent2 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Aeronàutica i espai
dc.subject.lcshNavigation (Aeronautics)
dc.subject.lcshAirplanes
dc.subject.otherBADA
dc.subject.otherPython
dc.subject.otheraircraft performance
dc.subject.otheroptimisation.
dc.titlepyBADA: Easy BADA integration in Python for rapid prototyping
dc.typeConference lecture
dc.subject.lemacNavegació aèria
dc.subject.lemacAvions
dc.contributor.groupUniversitat Politècnica de Catalunya. ICARUS - Intelligent Communications and Avionics for Robust Unmanned Aerial Systems
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
local.identifier.drac23568957
dc.description.versionPostprint (published version)
local.citation.authorDalmau, R.; Melgosa, M.; Prats, X.
local.citation.contributorSESAR Innovation Days 2018
local.citation.publicationNameSESAR Innovation Days 2018: posters abstracts
local.citation.startingPage16
local.citation.endingPage17


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