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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
drac.iddocument23568957
dc.description.versionPostprint (published version)
upcommons.citation.authorDalmau, R., Melgosa, M., Prats, X.
upcommons.citation.contributorSESAR Innovation Days 2018
upcommons.citation.publishedtrue
upcommons.citation.publicationNameSESAR Innovation Days 2018: posters abstracts
upcommons.citation.startingPage16
upcommons.citation.endingPage17


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Except where otherwise noted, content on this work is licensed under a Creative Commons license: Attribution-NonCommercial-NoDerivs 3.0 Spain