Lombaerts, Thomas und Looye, Gertjan und Seefried, Andreas und Neves, Miguel und Bellmann, Tobias (2018) Proof of concept simulator demonstration of a physics based self-preserving flight envelope protection algorithm. Engineering Applications of Artificial Intelligence (69), Seiten 368-380. Elsevier. doi: 10.1016/j.engappai.2017.08.014. ISSN 0952-1976.
Dieses Archiv kann nicht den Volltext zur Verfügung stellen.
Offizielle URL: http://www.sciencedirect.com/science/article/pii/S0952197617301987?via%3Dihub
Kurzfassung
This article discusses the development of an adaptive protection algorithm which is based on a physical approach, with the purpose to keep a closed loop aircraft with manual control laws within the actual safe flight envelope, even in the presence of failures or disturbances. Adaptive estimation of the flight envelope guarantees that not only flap changes, but also damage (e.g. icing) and external disturbances such as wind can be taken into account. This method is robust with respect to uncertainties in the estimates for the aerodynamic properties. This updated information makes the flight control laws more self-preserving and prevents loss of control in flight. This development can extend the functional envelope of the nominal law and reduce the need to switch from nominal to alternate law in the presence of certain failures. This algorithm has been applied on a simulation model of a medium range passenger aircraft and the setup has been implemented and evaluated in the DLR Robotic Motion Simulator at the German Aerospace Center as a proof of concept demonstration.
elib-URL des Eintrags: | https://elib.dlr.de/118418/ | ||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||||||||||
Titel: | Proof of concept simulator demonstration of a physics based self-preserving flight envelope protection algorithm | ||||||||||||||||||||||||
Autoren: |
| ||||||||||||||||||||||||
Datum: | Januar 2018 | ||||||||||||||||||||||||
Erschienen in: | Engineering Applications of Artificial Intelligence | ||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||
Open Access: | Nein | ||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||||||||||
DOI: | 10.1016/j.engappai.2017.08.014 | ||||||||||||||||||||||||
Seitenbereich: | Seiten 368-380 | ||||||||||||||||||||||||
Verlag: | Elsevier | ||||||||||||||||||||||||
Name der Reihe: | Elsevier | ||||||||||||||||||||||||
ISSN: | 0952-1976 | ||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||
Stichwörter: | flight control,flight simulation, robotic motion simulator, envelope protection, adaptive control | ||||||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||
HGF - Programm: | Luftfahrt | ||||||||||||||||||||||||
HGF - Programmthema: | Flugzeuge | ||||||||||||||||||||||||
DLR - Schwerpunkt: | Luftfahrt | ||||||||||||||||||||||||
DLR - Forschungsgebiet: | L AR - Aircraft Research | ||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | L - Systeme und Kabine (alt) | ||||||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Systemdynamik und Regelungstechnik > Flugzeug-Systemdynamik | ||||||||||||||||||||||||
Hinterlegt von: | Looye, Dr. Gertjan | ||||||||||||||||||||||||
Hinterlegt am: | 12 Dez 2018 13:02 | ||||||||||||||||||||||||
Letzte Änderung: | 30 Jan 2024 11:59 |
Nur für Mitarbeiter des Archivs: Kontrollseite des Eintrags