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.
Efficient and robust approaches for rotorcraft stability analysis
Effiziente und robuste Ansätze zur Stabilitätsanalyse von Hubschraubern
2007
15 Seiten, 40 Quellen
Conference paper
English
Efficient and robust approaches for rotorcraft stability analysis
Tema Archive | 2010
|Efficient and Robust Approaches for Rotorcraft Stability Analysis
British Library Conference Proceedings | 2007
|Efficient and Robust Approaches for Rotorcraft Stability Analysis 032006
Online Contents | 2010
|Rotorcraft aeroelastic stability using robust analysis
Online Contents | 2013
|Rotorcraft aeroelastic stability using robust analysis
Springer Verlag | 2013
|