Modelling of innovative aircraft such as unmanned air vehicles (UAVs), X-wing, tilt body and delta-wing aircraft is not easy. It is argued in this paper that non-linear system identification is suitable for modelling air vehicles of complex configuration. This approach is demonstrated through a laboratory test rig. Extensive time and frequency-domain model-validation tests are employed in order to instil confidence in the estimated model. The estimated model has a good predictive capability and can be utilized for non-linear flight simulation studies. Some aspects of the modelling approach presented may be relevant to flight mechanics modelling of new generations of air vehicle.


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    Title :

    Non-linear modelling of a one-degree-of-freedom twin-rotor multi-input multi-output system using radial basis function networks


    Contributors:
    Ahmad, S M (author) / Shaheed, M H (author) / Chipperfield, A J (author) / Tokhi, M O (author)


    Publication date :

    2002-04-01


    Size :

    12 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English