A Dynamic Cell Structure (DCS ) Neural Network was developed which learns a topology representing network (TRN) of F-15 aircraft aerodynamic stability and control derivatives. The network is combined with a feedback linearized tracking controller to produce a robust control architecture capable of handling multiple accident and off-nominal flight scenarios. This paper describes network and its performance for accident scenarios including differential stabilator lock, soft sensor failure, control, stability derivative variation, and turbulence.


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    Title :

    Feedback Linearized Aircraft Control Using Dynamic Cell Structure


    Contributors:

    Conference:

    WAC 98 ; 1998 ; Anchorage, AK, United States


    Publication date :

    1998-01-01


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English




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