Popp, E.; Tantau, M.; Wielitzka, M.; Ortmaier, T. ; Giebert, D.: Frequency Domain Identification and Identifiability Analysis of a Nonlinear Vehicle Drivetrain Model. In: 2019 18th European Control Conference (ECC). Piscataway, NJ : IEEE, 2019, S. 237-242. DOI:
https://doi.org/10.23919/ECC.2019.8795688
Zusammenfassung: |
Physical parameters of a vehicle drivetrain are
required in many applications. In the context of fault diagnosis,
for example, knowledge about the installed components or
parts can provide insights in order to verify if they behave in
accordance with standards or deviate from them in a way that
adversely affects the operating performance. For this purpose
a frequency domain identification approach is presented, which
is based only on standard mounted sensors. In the presented
method in particular nonlinear effects are taken into account
resulting from backlash. In order to guarantee a unique
parameter set a local identifiability analysis is performed.
The main idea of the method is to exploit the dependency
between the frequency response of the nonlinear system and
the magnitude of the test-signal to improve optimization of the
physical parameters. Finally, identification results using real
measurement data are presented.
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Lizenzbestimmungen: |
Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden. |
Publikationstyp: |
BookPart |
Publikationsstatus: |
acceptedVersion |
Erstveröffentlichung: |
2019 |
Schlagwörter (englisch): |
physical parameters, model-based approaches, controller design
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Fachliche Zuordnung (DDC): |
600 | Technik
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Kontrollierte Schlagwörter: |
Konferenzschrift
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