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  4. Nonlinear system identification of a UAV model with distributed aerodynamics and flexible structure
 
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Nonlinear system identification of a UAV model with distributed aerodynamics and flexible structure

Publikationstyp
Conference Paper
Date Issued
2023-07
Sprache
English
Author(s)
Herrmann, Benjamin  orcid-logo
Theis, Julian  orcid-logo
Thielecke, Frank  
Institut
Flugzeug-Systemtechnik M-7  
TORE-URI
http://hdl.handle.net/11420/14393
Journal
CEAS Aeronautical Journal  
Volume
14
Issue
3
Start Page
661
End Page
677
Citation
CEAS Aeronautical Journal 14 (3): 617-677 (2023-07)
Contribution to Conference
6th CEAS Conference on Guidance, Navigation and Control, EuroGNC 2022  
Publisher DOI
10.1007/s13272-023-00674-x
Scopus ID
2-s2.0-85165719049
Publisher
Springer
Peer Reviewed
true
This paper presents the nonlinear system identification of a slightly flexible 25 kg fixed-wing UAV in the time-domain using a computationally efficient distributed aerodynamics model and a linear structural dynamics representation. The equations of motion are formed by making use of the free vibration modes of the structure and the mean axes formulation. The structural modes and mode shapes are determined from ground vibration tests. The distributed aerodynamics, accounting for elastic deformations, are modeled using a quasi-steady stability and control derivative approach and by applying strip theory. Initial distributions for the derivatives are obtained from vortex-lattice-method calculations. For matching the model response to the measured response, parameters for scaling the initial derivative distributions are introduced. The flexible model is subsequently identified based on flight test data using the output error method in the time-domain and maximum-likelihood estimation. A good overall identification result is achieved with a close match of the fast aircraft dynamics. Finally, an evaluation is given on the suitability of the identified model for real-time simulation, loads’ estimation, and active load control law design.
Subjects
Nonlinear system identification
Aeroelastic modeling
UAV
Flight tests
DDC Class
600: Technik
620: Ingenieurwissenschaften
Funding(s)
Erweiterte Lastenanalyse und Beobachtermethoden für innovative Flugzeugkonfiguration  
Projekt DEAL  
Funding Organisations
Bundesministerium für Wirtschaft und Klimaschutz (BMWK)  
Lizenz
https://creativecommons.org/licenses/by/4.0/
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