Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 2019 18th European Control Conference, ECC 2019 |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| Seiten | 237-242 |
| Seitenumfang | 6 |
| ISBN (elektronisch) | 978-3-907144-00-8 |
| ISBN (Print) | 978-1-7281-1314-2 |
| Publikationsstatus | Veröffentlicht - Juni 2019 |
| Veranstaltung | 2019 European Control Conference (ECC) - Naples, Italien Dauer: 25 Juni 2019 → 28 Juni 2019 |
Abstract
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.
ASJC Scopus Sachgebiete
- Physik und Astronomie (insg.)
- Instrumentierung
- Mathematik (insg.)
- Steuerung und Optimierung
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2019 18th European Control Conference, ECC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. S. 237-242 8795688.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Frequency domain identification and identifiability analysis of a nonlinear vehicle drivetrain model
AU - Popp, Eduard
AU - Tantau, Mathias
AU - Wielitzka, Mark
AU - Ortmaier, Tobias
AU - Giebert, Dennis
PY - 2019/6
Y1 - 2019/6
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85071522456&partnerID=8YFLogxK
U2 - 10.15488/10817
DO - 10.15488/10817
M3 - Conference contribution
AN - SCOPUS:85071522456
SN - 978-1-7281-1314-2
SP - 237
EP - 242
BT - 2019 18th European Control Conference, ECC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 European Control Conference (ECC)
Y2 - 25 June 2019 through 28 June 2019
ER -