Identification of Aeroelastic Models for the X-56A Longitudinal Dynamics Using Multisine Inputs and Output Error in the Frequency Domain

System identification from measured flight test data was conducted using the X-56A aeroelastic demonstrator to identify a longitudinal flight dynamics model that included the short period, first symmetric wing bending, and first symmetric wing torsion modes. Orthogonal phase-optimized multisines wer...

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Main Authors: Jared A. Grauer, Matthew J. Boucher
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Aerospace
Subjects:
Online Access:https://www.mdpi.com/2226-4310/6/2/24
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spelling doaj-6c4e064ffd7d411ca23e6306734792872020-11-25T01:29:47ZengMDPI AGAerospace2226-43102019-02-01622410.3390/aerospace6020024aerospace6020024Identification of Aeroelastic Models for the X-56A Longitudinal Dynamics Using Multisine Inputs and Output Error in the Frequency DomainJared A. Grauer0Matthew J. Boucher1NASA Langley Research Center, Hampton, VA 23681, USANASA Armstrong Flight Research Center, Edwards, CA 93523, USASystem identification from measured flight test data was conducted using the X-56A aeroelastic demonstrator to identify a longitudinal flight dynamics model that included the short period, first symmetric wing bending, and first symmetric wing torsion modes. Orthogonal phase-optimized multisines were used to simultaneously excite multiple control effectors while a flight control system was active. Non-dimensional stability and control derivatives parameterizing an aeroelastic model were estimated using the output-error approach to match Fourier transforms of measured output response data. The predictive capability of the identified model was demonstrated using other flight test data with different inputs and at a different flight conditions. Modal characteristics of the identified model were explored and compared with other predictions. Practical aspects of the experiment design and system identification analysis, specific to flexible aircraft, are also discussed. Overall, the approach used was successful for identifying aeroelastic flight dynamics models from flight test data.https://www.mdpi.com/2226-4310/6/2/24aeroelasticityflight dynamicsX-56Asystem identificationoutput errorparameter estimationfrequency domainmultisine inputs
collection DOAJ
language English
format Article
sources DOAJ
author Jared A. Grauer
Matthew J. Boucher
spellingShingle Jared A. Grauer
Matthew J. Boucher
Identification of Aeroelastic Models for the X-56A Longitudinal Dynamics Using Multisine Inputs and Output Error in the Frequency Domain
Aerospace
aeroelasticity
flight dynamics
X-56A
system identification
output error
parameter estimation
frequency domain
multisine inputs
author_facet Jared A. Grauer
Matthew J. Boucher
author_sort Jared A. Grauer
title Identification of Aeroelastic Models for the X-56A Longitudinal Dynamics Using Multisine Inputs and Output Error in the Frequency Domain
title_short Identification of Aeroelastic Models for the X-56A Longitudinal Dynamics Using Multisine Inputs and Output Error in the Frequency Domain
title_full Identification of Aeroelastic Models for the X-56A Longitudinal Dynamics Using Multisine Inputs and Output Error in the Frequency Domain
title_fullStr Identification of Aeroelastic Models for the X-56A Longitudinal Dynamics Using Multisine Inputs and Output Error in the Frequency Domain
title_full_unstemmed Identification of Aeroelastic Models for the X-56A Longitudinal Dynamics Using Multisine Inputs and Output Error in the Frequency Domain
title_sort identification of aeroelastic models for the x-56a longitudinal dynamics using multisine inputs and output error in the frequency domain
publisher MDPI AG
series Aerospace
issn 2226-4310
publishDate 2019-02-01
description System identification from measured flight test data was conducted using the X-56A aeroelastic demonstrator to identify a longitudinal flight dynamics model that included the short period, first symmetric wing bending, and first symmetric wing torsion modes. Orthogonal phase-optimized multisines were used to simultaneously excite multiple control effectors while a flight control system was active. Non-dimensional stability and control derivatives parameterizing an aeroelastic model were estimated using the output-error approach to match Fourier transforms of measured output response data. The predictive capability of the identified model was demonstrated using other flight test data with different inputs and at a different flight conditions. Modal characteristics of the identified model were explored and compared with other predictions. Practical aspects of the experiment design and system identification analysis, specific to flexible aircraft, are also discussed. Overall, the approach used was successful for identifying aeroelastic flight dynamics models from flight test data.
topic aeroelasticity
flight dynamics
X-56A
system identification
output error
parameter estimation
frequency domain
multisine inputs
url https://www.mdpi.com/2226-4310/6/2/24
work_keys_str_mv AT jaredagrauer identificationofaeroelasticmodelsforthex56alongitudinaldynamicsusingmultisineinputsandoutputerrorinthefrequencydomain
AT matthewjboucher identificationofaeroelasticmodelsforthex56alongitudinaldynamicsusingmultisineinputsandoutputerrorinthefrequencydomain
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