Parametric identification of an aircraft landing gear damper, by means of periodic excitation

Abstract

Identification of nonlinear dynamical systems is most often performed by application of transient measurement signals, which are chosen in a way to re- semble actual or future trajectories of the system under consideration. Another approach, analog to the experimental analysis of linear systems, is application and measurement of periodic loads in order to measure the corresponding periodic equilibrium solutions and/or outputs. This new technique, using a Bayesian estimator will be illustrated with axial measurements on a nose landing gear damper under periodic excitation. Good results were obtained for identifications on a single frequency and amplitude, but the predictive power in other parts of the parameter or state space is low.