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  4. Virtual testing of skew detection concepts for future leading edge slats
 
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Virtual testing of skew detection concepts for future leading edge slats

Publikationstyp
Conference Paper
Date Issued
2023-09
Sprache
English
Author(s)
Krall, Konstantin  orcid-logo
Flugzeug-Systemtechnik M-7  
Schubert, Bettina 
Aircraft Systems Engineering M-7  
Thielecke, Frank  
Flugzeug-Systemtechnik M-7  
Ladner, Raphael
TORE-URI
https://hdl.handle.net/11420/45493
Citation
9th International Conference on Recent Advances in Aerospace Actuation Systems and Components (R3ASC 2023)
Contribution to Conference
9th International Conference on Recent Advances in Aerospace Actuation Systems and Components, R3ASC 2023  
Publisher Link
https://r3asc23.sciencesconf.org/data/R3ASC23_FinalProgram_20sep23.pdf
https://r3asc23.sciencesconf.org/resource/page/id/15
Publisher
INSA
Recent statements by the FAA regarding commercial aircraft certification guidelines indicate that structural elements have to be considered in safety analysis of flight control systems in a wider scope. The monitoring of failure modes within the drivetrain is expanding to include the kinematics and control surface itself. Among other aspects, this leads to implications for the high-lift system, since it is unclear if structural defects can be reliably detected by conventional fault detection systems, such as angle sensors on the drivetrain or torque sensors at the drive unit. Consequently, this has to be investigated and alternative monitoring concepts have to be considered to meet the new requirements. This paper presents a study of a new monitoring concept for future leading edge slat systems using a virtual test environment. Utilizing a co-simulation consisting of MSC Adams for the flexible multibody simulation and Matlab Simulink/Simscape for the modelling of the drive train, the functionality and performance of a use-case monitoring concept for future leading edge slats based on position sensors is investigated based on various test cases.
Subjects
Co-simulation
fault detection
leading edge
monitoring
skew detection
slat
systems architecture
virtual testing
DDC Class
530: Physics
620: Engineering
621: Applied Physics
Funding(s)
Entwicklung von Betätigungs- und Schräglauferkennung für ein montagefreundliches Hochauftriebssystem  
Funding Organisations
Bundesministerium für Wirtschaft und Klimaschutz (BMWK)  
TUHH
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