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Adaptive Kalman Filter Tracking for Instantaneous Aircraft Flutter Monitoring

Volkmar, Robin and Thormann, Kolja and Soal, Keith Ian and Govers, Yves and Böswald, Marc and Baum, Marcus (2023) Adaptive Kalman Filter Tracking for Instantaneous Aircraft Flutter Monitoring. In: 26th International Conference on Information Fusion, FUSION 2023. 26th International Conference on Information Fusion, 27.-30. Jun. 2023, Charleston, South Carolina, USA. doi: 10.23919/FUSION52260.2023.10224091. ISBN 979-889034485-4.

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The aeroelastic behaviour of aircraft is parameter variant. Changing flight conditions, such as e.g. flight velocity and altitude may change the vibration damping. When the vibration damping becomes zero or negative, self-excitation of the vibration occurs, called flutter. Modal parameter identification can be applied to extract eigenfrequencies and damping ratios based on e.g. acceleration data. In order to avoid flutter, modal parameters can be identified in flight testing of a new aircraft type close to real-time using optimized algorithms. Real-time identification of modal parameters has significant uncertainties, especially with respect to damping ratios. Those uncertainties cannot be calculated, but qualitatively estimated. In this study, a Kalman filter tracking is applied to reduce the uncertainties of modal parameter monitoring of aircraft. Since the process noise of such a system is impossible to foresee and is expected to change throughout a flight, the process noise is adapted with respect to the innovation and changing flight conditions. This contextaware adaptive Kalman filter is tested on data from a simulated aeroelastic model as well as on real flight test data of a smallscale fixed-wing UAV. The results show significant reduction of the identification uncertainties for both simulated and real data.

Item URL in elib:https://elib.dlr.de/195978/
Document Type:Conference or Workshop Item (Speech)
Title:Adaptive Kalman Filter Tracking for Instantaneous Aircraft Flutter Monitoring
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Volkmar, RobinUNSPECIFIEDhttps://orcid.org/0000-0002-5920-0686UNSPECIFIED
Thormann, KoljaUniversität GöttingenUNSPECIFIEDUNSPECIFIED
Soal, Keith IanUNSPECIFIEDhttps://orcid.org/0000-0002-5132-6823UNSPECIFIED
Govers, YvesUNSPECIFIEDhttps://orcid.org/0000-0003-2236-596X141262952
Böswald, MarcUNSPECIFIEDhttps://orcid.org/0000-0001-8260-8623UNSPECIFIED
Baum, MarcusUniversität GöttingenUNSPECIFIEDUNSPECIFIED
Date:30 June 2023
Journal or Publication Title:26th International Conference on Information Fusion, FUSION 2023
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:flight vibration test, flutter monitoring, Adaptive Kalman Filter, data fusion
Event Title:26th International Conference on Information Fusion
Event Location:Charleston, South Carolina, USA
Event Type:international Conference
Event Dates:27.-30. Jun. 2023
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Components and Systems
DLR - Research area:Aeronautics
DLR - Program:L CS - Components and Systems
DLR - Research theme (Project):L - Aircraft Systems
Location: Göttingen
Institutes and Institutions:Institute of Aeroelasticity > Structural Dynamics and System Identification
Deposited By: Volkmar, Robin
Deposited On:28 Aug 2023 10:20
Last Modified:20 Nov 2023 16:52

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