bei Google ScholarTitelangaben
Gick, Sebastian ; Naumann, Moritz ; Pfeifer, Markus ; Nielebock, Sebastian ; Bakran, Mark-M.:
Closed-Loop Approach to Mitigate Motor Voltage Overshoot Using Quasi 2-Level Modulation.
2025
Veranstaltung: ECCE Europe 2025
, 31.08.25-04.09.2025
, Birmingham.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung
,
Paper
)
DOI: https://doi.org/10.1109/ECCE-EUROPE62795.2025.11238496
Abstract
This paper presents a closed-loop control approach to mitigate overvoltage at the motor by introducing an intermediate voltage level. The key contribution lies in using measurements taken from the converter side with minimal additional components, thereby eliminating the need for direct voltage sensing at the motor terminals. The proposed method utilizes the detection of the cable oscillation amplitude to optimize the timing of intermediate voltage steps, effectively reducing motor-side overvoltage. The approach is validated through an experimental setup, where a simple algorithm demonstrates its ability to determine the optimum timing under stable operating conditions. However, for scenarios involving rapidly changing operating points, a more advanced algorithm that accounts for current dynamics and semiconductor switching behavior may be necessary.
Weitere Angaben
| Publikationsform: | Veranstaltungsbeitrag (Paper) |
|---|---|
| Begutachteter Beitrag: | Ja |
| Keywords: | WBG; filter; mathbf{d} V / mathbf{d}; overvoltage; reflection; motor |
| Institutionen der Universität: | Fakultäten > Fakultät für Ingenieurwissenschaften > Lehrstuhl Mechatronik > Lehrstuhl Mechatronik - Univ.-Prof. Dr.-Ing. Mark-M. Bakran Profilfelder > Advanced Fields > Neue Materialien Profilfelder > Emerging Fields > Energieforschung und Energietechnologie Forschungseinrichtungen > Forschungsstellen > Zentrum für Energietechnik - ZET |
| Titel an der UBT entstanden: | Ja |
| Themengebiete aus DDC: | 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften |
| Eingestellt am: | 16 Apr 2026 06:04 |
| Letzte Änderung: | 16 Apr 2026 06:04 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/96801 |