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

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

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The problem of rotorcraft system identification is considered and a novel, two-step technique is proposed, which combines the advantages of time-domain and frequency-domain 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 H model matching method. A bootstrap-based approach is used to estimate model uncertainty for the identified models. A simulation study is used to illustrate the proposed approach.

Chapter Contents:

  • Abstract
  • 13.1 Introduction
  • 13.2 Problem statement and preliminaries
  • 13.3 An integrated time - frequency-domain approach
  • 13.3.1 Continuous-time predictor-based subspace model identification
  • 13.3.2 From unstructured to structured models with an H∞ approach
  • 13.4 Bootstrap uncertainty estimation in subspace identification methods
  • 13.5 Simulation study: model identification for the BO-105 helicopter
  • 13.6 Concluding remarks
  • References

Inspec keywords: statistical analysis; aircraft control; uncertain systems; identification; feedback; time-frequency analysis; helicopters; H∞ control

Other keywords: model uncertainty estimation; H∞ model matching method; bootstrap-based approach; model structure; rotorcraft system identification; two-step technique; subspace model identification method; integrated time-frequency-domain approach; feedback; black-box model identification

Subjects: Optimal control; Simulation, modelling and identification; Mathematical analysis; Other topics in statistics; Aerospace control

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