DDDAS Accomplishments: Multiple separate but related projects investigated the DDDAS paradigm applied to UAV swarms. Each project provided methods and examples of how the DDDAS concept could be used for the command and control of swarms of UAVs. As the numbers of UAVs in the military inventory increase operator shortage & overload is becoming a problem; groups or swarms of semi-autonomous UAVs will need to be controlled by the operators, requiring new modes of command & control. Operators will need to 'fly the swarm' rather than a 'UAV' as is largely done today. A DDDAS test-bed was developed utilizing web-services middleware to communicate between a 'real-world' UAV swarms and agent-based simulations. Six Parrot AR.Drones 2.0 quadrocopters were demo'ed as a 'real world' UAV swarm communicating over the test-bed to a ground-based command & control application. Experiments were run testing the effects of intra-swarm communication protocols on target discovery.


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    Title :

    Dynamic Predictive Simulations of Agent Swarms (DDDAS)


    Contributors:
    G Madey (author)

    Publication date :

    2014


    Size :

    7 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




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