Abstract
As the back electromotive force (back-EMF) scales with the rotor speed of the permanent magnet synchronous machine (PMSM), this generally results in a low-speed limit for back-EMF based rotor position estimation. As shown in [1], this low-speed limit is primarily determined by the inverter's nonlinearity effects which are significantly caused by the inverter's dead-time [2]. With decreasing rotor speed, the modulation index of the inverter is reduced and the relative voltage error due to the inverter's dead-time effect increases compared to the machine's back-EMF. Therefore, the aim of this paper is to show that the low-speed limit can be significantly reduced when a back-EMF based rotor position estimation method is combined with a highly accurate and dynamic dead-time compensation using FPGA-operated current oversampling. For the experimental results the rotor position estimation [3] is combined with the predictive dead-time compensation [4]. The results demonstrate a significant reduction of the low-speed limit to a rotor speed that is about 0.5% of the rated speed.
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 2018 IEEE 9th International Symposium on Sensorless Control for Electrical Drives (SLED) |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| Seiten | 60-65 |
| Seitenumfang | 6 |
| ISBN (elektronisch) | 9781538644553 |
| ISBN (Print) | 978-1-5386-4456-0 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 14 Sept. 2018 |
| Veranstaltung | International Symposium on Sensorless Control for Electrical Drives - Helsinki, Finnland Dauer: 13 Sept. 2018 → 14 Sept. 2018 Konferenznummer: 9 |
Publikationsreihe
| Name | Symposium on Sensorless Control for Electrical Drives |
|---|
Konferenz
| Konferenz | International Symposium on Sensorless Control for Electrical Drives |
|---|---|
| Kurztitel | SLED |
| Land/Gebiet | Finnland |
| Ort | Helsinki |
| Zeitraum | 13 Sept. 2018 → 14 Sept. 2018 |
ASJC Scopus Sachgebiete
- Elektrotechnik und Elektronik
- Maschinenbau
- Steuerung und Optimierung
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