Evaluation of a Maximum Likelihood System Identification Technique on Flutter Testing Data

Abstract

The paper deals with the application of a frequency domain maximum likelihood estimation method for linear system identification in the field of flutter data analysis. Unlike methods based on least squares error minimization, the proposed method takes into account the disturbing process or measurement noise on as well the input as the output of the device under test. This enables the optimal and unbiased identification of the parameters in the linear system model. A few examples of the identification of the system parameters of a mechanical single input single output system from flutter test data are discussed and compared to more classical linear estimation methods.

Citation

Van der Auweraer, H. and Leuridan, J. (1990), "Evaluation of a Maximum Likelihood System Identification Technique on Flutter Testing Data", Aircraft Engineering and Aerospace Technology, Vol. 62 No. 7, pp. 7-16. https://doi.org/10.1108/eb036965