The Johns Hopkins University Applied Physics Laboratory is developing a knowledge-based approach to spacecraft distributed modeling and simulation and to sustaining design knowledge. We define an object-oriented decomposition of a virtual spacecraft into both functional and physical classes, and standardize the class methods. Simulations of spacecraft components inherit from the classes and implement the standard methods as well as their own special methods. Federated simulations of spacecraft system designs can integrate multiple component simulations in a plug-and-play fashion through the standard interfaces. We also define a knowledge-based architecture that captures and synthesizes the object-oriented standards, component simulation descriptions, and designs of spacecraft systems. Software tools extract abstract simulation specifications from the knowledge base and create files that drive platform-specific federated simulations. Finally, we define a knowledge-based approach to sustaining design and design process knowledge to facilitate the design process of current and future spacecraft.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A knowledge-based approach to spacecraft distributed modeling and simulation


    Contributors:
    Goldfinger, A. (author) / Silberberg, D. (author) / Gersh, J. (author) / Hunt, J. (author) / Weiskopf, F. (author) / Spisz, T. (author) / Mou, Z.G. (author) / Rogers, G. (author) / Semmel, R. (author)


    Publication date :

    2000


    Size :

    9 Seiten, 10 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Standards for distributed spacecraft modeling, simulation, and knowledge sustainment

    Silberberg, David / Goldfinger, Andrew / Gersh, John et al. | AIAA | 1999


    Navigation validation using the distributed spacecraft modeling and simulation testbed

    Stadter, P.A. / Kusterer, T.L. / DeBolt, R.J. et al. | IEEE | 2001



    Distributed Spacecraft Autonomy

    Cellucci, Daniel / Cramer, Nick B. / Frank, Jeremy D. | AIAA | 2020


    The Spacecraft Diagnostics Expert System Based-on the Flexible Knowledge Modeling

    Fang, Hongzheng / Sun, Jian / Han, Liming et al. | Springer Verlag | 2012