The problem of eliminating sinusoidal disturbances from data while producing minimal distortion to the underlying data is analyzed. A particular example of this problem arises in the filtering of helicopter data which are corrupted by sinusoidal disturbances due to rotor motion. It is shown that an optimal solution to the problem can be found using Kalman filtering theory. The properties of the optimal filter are analyzed using recent results on filtering for nonstabilizable systems. These results are then used to motivate a particular near-optimal filter which has enhanced robustness properties relative to the optimal filter. It is shown that an identical filter can be derived using recent results on the evaluation of recursive discrete Fourier transforms. This link between time and frequency domain methods leads to a rather complete understanding of the characteristics of the filter. Specific results are presented showing the application of the filter to real helicopter data.


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    Title :

    Sinusoidal disturbance rejection with application to helicopter flight data estimation


    Additional title:

    Unterdrueckung sinusfoermiger Stoerungen mit Anwendung auf die Datenschaetzung eines Hubschrauberfluges


    Contributors:
    Goodwin, G.C. (author) / Evans, R.J. (author) / Leal, R.L. (author) / Feik, R.A. (author)


    Publication date :

    1986


    Size :

    6 Seiten, 12 Quellen



    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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