A novel process to determine an aircraft performance model from operational flight data with limited a priori knowledge is developed. The given big data problem is solved by application of fundamental engineering knowledge and a specific data evaluation strategy. The resulting smart data approach is fundamentally different from existing deep learning methods to solve such big data problems. A given aerodynamic model is updated to represent the characteristics of an Airbus A320neo aircraft based on a given large database of operational flights. The updated aerodynamic model implementation for one specific flap/slat configuration is exemplarily compared to the information available from flight data and the results are discussed in terms of model quality.


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    Titel :

    Aerodynamic model adjustment for an accurate flight performance representation using a large operational flight data base


    Weitere Titelangaben:

    CEAS Aeronaut J


    Beteiligte:

    Erschienen in:

    CEAS Aeronautical Journal ; 14 , 2 ; 527-538


    Erscheinungsdatum :

    2023-03-01


    Format / Umfang :

    12 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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