Volkmar, Robin und Thormann, Kolja und Soal, Keith Ian und Govers, Yves und Böswald, Marc und 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, 2023-06-27 - 2023-06-30, Charleston, South Carolina, USA. doi: 10.23919/FUSION52260.2023.10224091. ISBN 979-889034485-4.
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Kurzfassung
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.
elib-URL des Eintrags: | https://elib.dlr.de/195978/ | ||||||||||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||||||||||
Titel: | Adaptive Kalman Filter Tracking for Instantaneous Aircraft Flutter Monitoring | ||||||||||||||||||||||||||||
Autoren: |
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Datum: | 30 Juni 2023 | ||||||||||||||||||||||||||||
Erschienen in: | 26th International Conference on Information Fusion, FUSION 2023 | ||||||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||||||
Open Access: | Nein | ||||||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||||||||||
DOI: | 10.23919/FUSION52260.2023.10224091 | ||||||||||||||||||||||||||||
ISBN: | 979-889034485-4 | ||||||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||||||
Stichwörter: | flight vibration test, flutter monitoring, Adaptive Kalman Filter, data fusion | ||||||||||||||||||||||||||||
Veranstaltungstitel: | 26th International Conference on Information Fusion | ||||||||||||||||||||||||||||
Veranstaltungsort: | Charleston, South Carolina, USA | ||||||||||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||||||||||
Veranstaltungsbeginn: | 27 Juni 2023 | ||||||||||||||||||||||||||||
Veranstaltungsende: | 30 Juni 2023 | ||||||||||||||||||||||||||||
Veranstalter : | IEEE | ||||||||||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||||||
HGF - Programm: | Luftfahrt | ||||||||||||||||||||||||||||
HGF - Programmthema: | Komponenten und Systeme | ||||||||||||||||||||||||||||
DLR - Schwerpunkt: | Luftfahrt | ||||||||||||||||||||||||||||
DLR - Forschungsgebiet: | L CS - Komponenten und Systeme | ||||||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | L - Flugzeugsysteme | ||||||||||||||||||||||||||||
Standort: | Göttingen | ||||||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Aeroelastik > Strukturdynamik und Systemidentifikation | ||||||||||||||||||||||||||||
Hinterlegt von: | Volkmar, Robin | ||||||||||||||||||||||||||||
Hinterlegt am: | 28 Aug 2023 10:20 | ||||||||||||||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:56 |
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