Hypersonic glide vehicles (HGVs) introduce challenges in terms of predicting their future flight behavior because they fly at high speeds and maneuver during flight. Furthermore, there are limited examples of actual HGV flights, which impedes the development of prediction methods that model HGV trajectories. In this paper, we investigate transfer learning for HGV trajectory prediction to evaluate how stochastic grammars trained on a limited number of HGV trajectories perform on new, unseen HGV trajectories. Our analysis includes two datasets containing HGV trajectories that exhibit different maneuvers. One dataset contains trajectories that exhibit vertical maneuvers, which are behaviors related to changes in altitude. The second dataset exhibits both horizontal and vertical maneuvers, where horizontal maneuvers refer to changes in crossrange and downrange. The vertical dataset is also significantly smaller than the second dataset (i.e., the dataset that exhibits horizontal and vertical maneuvers). We develop a prediction method using the smaller, less complicated dataset to model HGV trajectories. Specifically, we use an unsupervised machine learning method based on stochastic grammars. Then, we demonstrate that the learned model can be used to predict HGV behavior and engageability for trajectories from the larger, more complicated dataset. Our results show that transfer learning improves prediction performance (even on unseen trajectory maneuvers) and can be used in limited data scenarios.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Transfer Learning for Hypersonic Vehicle Trajectory Prediction


    Beteiligte:


    Erscheinungsdatum :

    2023-03-04


    Format / Umfang :

    4802723 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Research Progress in Trajectory Prediction for Near Space Hypersonic Vehicle

    Shao Lei, Lei Humin, Zhao Jin | DOAJ | 2021

    Freier Zugriff

    Hypersonic vehicle trajectory optimization and control

    Balakrishnan, S. / Shen, J. / Grohs, J. | AIAA | 1997


    Boosting trajectory planning for hypersonic vehicle

    Zhou, Wenhong / Pan, Liang / Chen, Jing et al. | IEEE | 2016


    Entry trajectory optimisation of hypersonic vehicle

    García García, Daniel | BASE | 2020

    Freier Zugriff

    Trajectory Optimization for a Generic Hypersonic Vehicle

    Keshmiri, Shahriar / Colgren, Richard / Mirmirani, Maj | AIAA | 2006