When applied in aerospace engineering, the object of system identification is to estimate stability and control derivatives. These coefficients are the elements of the state matrix and input matrix in the state space equation that describes the dynamical behavior of the aircraft. The parameters are estimated using flight data that is recorded during special flight tests. Mainly due to the presence of the rotor, helicopters have to be treated differently than fixed wing aircraft. This leads to special approaches for the identification of rotary wing aircraft. A working group of NATO's Advisory Group on Aerospace Research and Development (AGARD) has investigated many of these procedures. The procedure that is followed here is based on frequency domain methods, since these techniques have several advantages for the identification of helicopters. The objectives of the TUD/NLR project are both the development of algorithms based on this approach and the application to flight data.


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    Title :

    Iterative Model Construction Methods for Multivariable State-Space Identification


    Contributors:
    M. W. Soijer (author) / J. A. Mulder (author) / J. H. Breeman (author)

    Publication date :

    1996


    Size :

    178 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English





    Multivariable system identification : subspace methods. Part I : state of the art

    Bastogne, T. / Sibille, P. / Richard, A. | British Library Online Contents | 1998