A Trajectory Computation Infrastructure (TCI) contains three main modules: the Aircraft Performance Model (APM) that provides the aircraft performances (thrust, drag, and fuel consumption, among others), the Weather Model (WM) that provides the wind and atmospheric properties, and the Trajectory Engine (TE) that integrates the equations of motion to obtain the predicted trajectory. As part of its Advanced Trajectory Technologies (ATT) activities, Boeing Research & Technology Europe (BR&TE) has developed a TCI that employs the Aircraft Intent Description Language (AIDL) as the main input to the TCI. AIDL is a univocal, rigorous, and standardized method to express aircraft intent (AI), unambiguously determining the desired trajectory. AIDL is based on the simultaneous use of various instructions, each of them closing a single degree of freedom of the aircraft motion. This paper describes the elements involved in the trajectory computation process. It then explains the different ways of modeling a descent trajectory by means of AI. Its main objective is to obtain guidelines on the consequences that differences between the actual and expected inputs to the trajectory computation process have on the resulting predicted trajectories, and how these can vary depending on the choices taken to model the AI. The different AIs result in the same trajectory when combined with the expected weather (wind and atmospheric temperature) and initial conditions (aircraft mass), but the results diverge when confronted with actual weather and initial mass that differ from the expected ones. This paper describes the reasons for this divergence, analyzes the differences in geometry and speed among the resulting trajectories, and explains why some AI options may be more robust than others when modeling descents, and the risks the modeler incurs when employing each of them. Finally, the AIs employed by the Flight Management System (FMS) vertical navigation (VNAV) modes are described.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Prediction of descent trajectories based on Aircraft Intent


    Contributors:
    Gallo, E (author)

    Published in:

    Publication date :

    2010-10-01


    Size :

    900347 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Impact of missing longitudinal aircraft intent on descent trajectory prediction

    Bronsvoort, Jesper / McDonald, Greg / Paglione, Mike et al. | IEEE | 2011


    Impact of missing longitudinal aircraft intent on descent trajectory prediction

    Bronsvoort, J. / McDonald, G. / Paglione, M. et al. | IEEE | 2011

    Free access

    Trajectories with intent

    SIEBERT KENNETH MICHAEL / GARIMELLA GOWTHAM / MATTINSON BENJAMIN ISAAC et al. | European Patent Office | 2023

    Free access

    TRAJECTORIES WITH INTENT

    SIEBERT KENNETH MICHAEL / GARIMELLA GOWTHAM / MATTINSON BENJAMIN ISAAC et al. | European Patent Office | 2021

    Free access

    Determining a descent trajectory described by an aircraft intent description language (AIDL)

    CASADO MAGAÑA ENRIQUE JUAN / D'ALTO LUIS PEDRO / VILAPLANA RUIZ MIGUEL | European Patent Office | 2017

    Free access