This paper proposes a data-driven strategy to assist online rapid decision making for an unmanned aerial vehicle that uses sensed data to estimate its structural state, uses this estimate to update its corresponding flight capabilities, and then dynamically replans its mission accordingly. The approach comprises offline and online computational phases constructed to address the sense–plan–act information flow while avoiding a costly online inference step. During the offline phase, high-fidelity finite element simulations are used to construct reduced-order models and classification criteria: proper orthogonal decomposition approximations and self-organizing maps are combined to realize a fast mapping from measured quantities to system capabilities. During the online phase, the surrogate mapping is employed to directly estimate the vehicle’s evolving structural capability from sensor data. The approach is demonstrated for a test problem of a composite wing panel on an unmanned aerial vehicle that undergoes degradation in structural properties.


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    Titel :

    Surrogate Modeling Approach to Support Real-Time Structural Assessment and Decision Making


    Beteiligte:
    Mainini, L. (Autor:in) / Willcox, K. (Autor:in)

    Erschienen in:

    AIAA Journal ; 53 , 6 ; 1612-1626


    Erscheinungsdatum :

    2015-04-08


    Format / Umfang :

    15 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    A Surrogate Modeling Approach to Support Real-time Structural Assessment and Decision-making (AIAA 2014-1488)

    Mainini, L. / Willcox, K.E. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2014


    Decision support for real-time, dynamic decision-making tasks

    Gonzalez, Cleotilde | Online Contents | 2005



    Sensitivity Analysis of Surrogate-based Methodology for Real-time Structural Assessment (AIAA 2015-1362)

    Mainini, Laura / Willcox, Karen E. | British Library Conference Proceedings | 2015