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

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dc.contributor.author Bergamasco, M.
dc.contributor.author Lovera, M.
dc.date.accessioned 2020-11-19T15:40:40Z
dc.date.available 2020-11-19T15:40:40Z
dc.date.issued 2017
dc.identifier.other 535_ERF2017
dc.identifier.uri http://hdl.handle.net/20.500.11881/3799
dc.description.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.
dc.language.iso en
dc.title Rotorcraft model identification: a black-box time/frequency domain approach


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