The problem of rotorcraft system identification is considered and a novel, two-step technique is proposed, which combines the advantages of time-domain and frequencydomain methods. In the first step, the identification of a black-box model using a subspace model identification method is carried out, using a technique which can deal with data generated under feedback; subsequently, in the second step, a-priori information on the model structure is enforced in the identified model using an H8 model matching method.Abootstrap-based approach is used to estimate model uncertainty for the identified models. A simulation study is used to illustrate the proposed approach.

Rotorcraft system identification: an integrated time/frequency-domain approach

BERGAMASCO, MARCO;LOVERA, MARCO
2014-01-01

Abstract

The problem of rotorcraft system identification is considered and a novel, two-step technique is proposed, which combines the advantages of time-domain and frequencydomain methods. In the first step, the identification of a black-box model using a subspace model identification method is carried out, using a technique which can deal with data generated under feedback; subsequently, in the second step, a-priori information on the model structure is enforced in the identified model using an H8 model matching method.Abootstrap-based approach is used to estimate model uncertainty for the identified models. A simulation study is used to illustrate the proposed approach.
2014
Control-oriented Modelling and Identification: Theory and practice
9781849196147
Aircraft control; Black-box model identification; Bootstrap-based approach; Feedback; Feedback; Helicopters; H∞ control model uncertainty estimation; H∞ model matching method; Identification; Integrated time-frequency-domain approach; Model structure; Rotorcraft system identification; Statistical analysis; Subspace model identification method; Time-frequency analysis; Two-step technique; Uncertain systems
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/908561
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