Modelling of innovative aircraft such as UAVs, X-wing, tilt body and delta-wing is not easy. This paper presents a nonlinear system identification method for modelling air vehicles of complex configuration. This approach is demonstrated through a laboratory helicopter. Extensive time and frequency-domain model-validation tests are employed to instil confidence in the estimated model. The estimated model has a good predictive capability and can be utilized for nonlinear flight simulation studies. The approach presented is suitable for modelling new generation air vehicles.


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    Title :

    Nonlinear modelling of a twin rotor MIMO system using radial basis function networks


    Contributors:


    Publication date :

    2000-01-01


    Size :

    631728 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English