This paper describes an autonomous guidance system based on receding horizon (RH) optimization. The system is integrated around a spatial, state-dependent cost-to-go (SVF) function that is computed as an approximation to the value function associated with the optimal trajectory planning problem. The function captures the critical interaction between the vehicle dynamics and environment, thereby resulting in tighter coupling between planning and control. The consistency achieved between the RH optimization and the SVF enables a more rigorous implementation of the RH framework to autonomous vehicle guidance. The paper describes the overall approach along flight experimental results obtained in an Interactive Guidance and Control Laboratory.


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    Title :

    Agile autonomous guidance using spatial value functions


    Additional title:

    Agile autonome Steuerung mit Hilfe von räumlichen Wertefunktionen


    Contributors:
    Mettler, B. (author) / Dadkhah, N. (author) / Kong, Z. (author)

    Published in:

    Publication date :

    2010


    Size :

    16 Seiten




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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