Linearized stability analysis methodologies that are applicable to large scale, general nonlinear rotorcraft problems are presented in this paper. Two classes of closely related algorithms based on a partial Fioquet's and on an autoregressive approach, respectively, are presented in common framework that underlines their similarity and their relationship to other methods. The robustness of the proposed approach is improved by using optimized signals that are derived from the proper orthogonal modes of the system. Finally, a signal synthesis procedure based on the identified frequencies and damping rates is shown to be an important tool for assessing the accuracy of the identified parameters; furthermore, it provides a means of resolving the frequency indeterminacy associated with the eigenvalues of the transition matrix for periodic systems. The proposed approaches are computationally inexpensive and consist of purely post processing steps that can be used with any multi-physics computational tool or with experimental data. Unlike classical stability analysis methodologies, it does not required the linearization of the equations of motion of the system.


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    Title :

    Efficient and robust approaches for rotorcraft stability analysis


    Additional title:

    Effiziente und robuste Ansätze zur Stabilitätsanalyse von Hubschraubern


    Contributors:


    Publication date :

    2007


    Size :

    15 Seiten, 40 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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