The success of NASA's exploration activities hinges on the ability to make space systems safer, more affordable, and more self-sufficient. As these missions expand to ever increasing distances from earth, the systems that support these missions will be required to become more self-sufficient. Integrated Vehicle Health Management (IVHM) is an approach that supports vehicle self-sufficiency. The architecture presented in this paper integrates advanced computational techniques with technologies for spacecraft that can generate responses through detection, diagnosis, reasoning, and adapt to system faults in support of Integrated Intelligent Vehicle Management (IIVM). This paper presents an Integrated Intelligent Vehicle Management (IIVM) concept which provides for the complete integration and management of all vehicle functions and subsystems This research presents architecture for vehicle level interaction between subsystem functions and vehicle level functions. This paper presents an IIVM framework that encompasses all vehicle functions and subsystems. Furthermore, this paper presents vehicle management system interactions and subsystem management functions. Each of the subsystems have the following functions: performance, diagnostics, prognostics, monitoring, and control. This paper presents a framework which conceptualizes how these subsystems interact with the various system management functions. This is accomplished by supplying new information in real time to the vehicle avionics real-time to allow responses to vehicle subsystem failures and performance degradation. This framework can potentially achieve autonomous operation capabilities necessary to assure crew safety and mission safety.


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    Title :

    Integrated Intelligent Vehicle Management Framework


    Contributors:


    Publication date :

    2008-03-01


    Size :

    413655 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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