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Autor(en):
M. Many, M. Weber, S. Oberndorfer, S.J. Köberle, B. Hosseini, M. Hornung
Zusammenfassung:
In order to provide the transient dynamics of a miniature turbojet engine, a JetCAT P100-RX turbojet engine currently in use on a flying testbed is investigated. A parametric white-box model is implemented in MATLAB/Simulink and scaling methods for the component performance maps are applied, which are commonly used to model the compressor and turbine. Several modelling approaches of the system are investigated and compared to a phenomenological benchmark model. Subsequently, a state space representation of the considered engine is derived and the key parameters are identified using system identification techniques. A two-step approach is applied for identification: First, frequency-sweep signals are used in order to provide detailed test data over the estimated frequency span of interest. Second, optimized multi-sine input signals utilizing the initial data are injected to perform parameter identification.
Veranstaltung:
Deutscher Luft- und Raumfahrtkongress 2021
Verlag, Ort:
Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V., Bonn, 2022
Medientyp:
Conference Paper
Sprache:
englisch
Format:
21,6 x 27,9 cm, 15 Seiten
URN:
urn:nbn:de:101:1-2022092615485307731570
DOI:
10.25967/550281
Stichworte zum Inhalt:
Remotely Piloted Aircraft System, RPAS, Unmanned Aerial Vehicle, UAV, Multi-Sine Inputs, State Space Representation, Turbojet Engine
Verfügbarkeit:
Download - Bitte beachten Sie die Nutzungsbedingungen dieses Dokuments: CC BY-SA 4.0OPEN ACCESS
Kommentar:
Zitierform:
Many, M.; Weber, M.; et al. (2022): System Identification of a Turbojet Engine using Multi-Sine Inputs in Ground Testing. Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V.. (Text). https://doi.org/10.25967/550281. urn:nbn:de:101:1-2022092615485307731570.
Veröffentlicht am:
26.09.2022