Rotorcraft model identification: a black-box time/frequency domain approach

Abstract

In this paper a time/frequency domain approach to rotorcraft model identification is presented and discussed. The approach uses data collected in different identification experiments (corresponding to the application of frequency sweeps, 3211 and doublet input sequeneces) to estimate both parametric blackbox state-space models using a subspace method and non-parametric estimates of the frequency response function. Results obtained in the flight testing campaign for the identification of linear models of a light utility helicopter are presented to illustrate the performance of the approach.