Time and Frequency-Domain Identification and Verification of BO 105 Dynamic Models

Abstract

Mathematical models for the dynamics of the DLR BO 105 helicopter are extracted from flight test data using two different approaches: frequency-domain and time-domain identification. Both approaches are reviewed. Results from an extensive data consistency analysis are given. Identifications for 6 degrees of freedom (DOF) rigid body models are presented and compared in detail. The extracted models compare favorably and their prediction capability is demonstrated in verification results. Approaches to extend the 6 DOF models are addressed and first results are presented. System identification is broadly defined as the deduction of system characteristics from measured data. It provides the only possibility to extract both non-parametric (e.g. frequency responses) and parametric (e.g. state space matrices) aircraft models from flight test data and therefore gives a reliable characterization of the dynamics of the actually existing air-craft. Main applications of system identification are seen in areas where higher accuracies of the mathematical models are required: Simulation validation, control system design (in particular model- following control system design for in-flight simulation), and handling qualities. (KR)

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Document Details

Document Type
Technical Report
Publication Date
Sep 15, 1989
Accession Number
ADA216828

Entities

People

  • Jay W. Fletcher
  • Juergen Kaletka
  • Mark B. Tischler
  • Wolfgang V. Gruenhagen

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Accuracy
  • Aircrafts
  • Airframes
  • Bandwidth
  • Computational Science
  • Control Systems
  • Databases
  • Equations
  • Frequency Bands
  • Frequency Domain
  • Frequency Response
  • Helicopters
  • Kalman Filters
  • Mathematical Models
  • Measurement
  • Rotary Wing Aircraft
  • Tilt Rotor Aircraft

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Aerodynamics/Aeronautics.
  • Computational Modeling and Simulation

Technology Areas

  • Space
  • Space - Spacecraft Maneuvers