Soft computing control systems have been applied in various applications particularly in the fields of robotics controls. The advantage of having a soft computing control methods is that it enable more flexibility to the control system compared with conventional model based controls system. Firstly, soft computing methods enable a transfer of human controls and thinking into the machine via training. Secondly it is more robust to error compared to conventional model based system. In this paper, a UAV airship is controlled using fuzzy logic for its propulsion and steering system. The airship is tested on a simulation level before test flight. The prototype airship has on board GPS and compass for telemetry and transmitted to the ground control system via a wireless link.


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    Title :

    Soft computing control system of an unmanned airship


    Contributors:
    Kitt, W W (author) / Chekima, A (author) / Dargham, J A (author) / Wong, F (author) / Tabet, T A (author)


    Publication date :

    2010-11-01


    Size :

    764965 byte



    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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