Details
| Original language | English |
|---|---|
| Title of host publication | 2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion |
| Subtitle of host publication | SPEEDAM 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 849-854 |
| Number of pages | 6 |
| ISBN (electronic) | 9798350387599 |
| ISBN (print) | 979-8-3503-8760-5 |
| Publication status | Published - 19 Jun 2024 |
| Event | 2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2024 - Napoli, Italy Duration: 19 Jun 2024 → 21 Jun 2024 |
Abstract
Self-sensing control (SSC) of induction machines (IMs) down to zero stator frequency is still a challenge. In this context, a simple observer structure for rotor speed estimation is analysed with respect to its lower speed limit. Using methods enabled by oversampling with an FPGA, the extent to which the lower speed limit can be reduced is investigated. First, the non-linearity of the inverter is improved by using deadtime compensation (DTCO), which pre-calculates the currents at the switching instants and mitigates the interference voltage. Second, a grey box model (GM) filter is used to increase the signal-to-noise ratio of the current measurement. The GM filter is derived by using the difference between machine models with and without iron resistance. Finally, the two approaches are combined.
Keywords
- dead time compensation, FPGA, Induction machine, iron resistance, self-sensing control
ASJC Scopus subject areas
- Energy(all)
- Energy Engineering and Power Technology
- Engineering(all)
- Electrical and Electronic Engineering
- Engineering(all)
- Mechanical Engineering
- Mathematics(all)
- Control and Optimization
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion: SPEEDAM 2024. Institute of Electrical and Electronics Engineers Inc., 2024. p. 849-854.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Extension of Low-Speed Self-Sensing Capability for Induction Machines by Using an FPGA
AU - Himker, Niklas
AU - Mertens, Axel
N1 - Publisher Copyright: © 2024 IEEE.
PY - 2024/6/19
Y1 - 2024/6/19
N2 - Self-sensing control (SSC) of induction machines (IMs) down to zero stator frequency is still a challenge. In this context, a simple observer structure for rotor speed estimation is analysed with respect to its lower speed limit. Using methods enabled by oversampling with an FPGA, the extent to which the lower speed limit can be reduced is investigated. First, the non-linearity of the inverter is improved by using deadtime compensation (DTCO), which pre-calculates the currents at the switching instants and mitigates the interference voltage. Second, a grey box model (GM) filter is used to increase the signal-to-noise ratio of the current measurement. The GM filter is derived by using the difference between machine models with and without iron resistance. Finally, the two approaches are combined.
AB - Self-sensing control (SSC) of induction machines (IMs) down to zero stator frequency is still a challenge. In this context, a simple observer structure for rotor speed estimation is analysed with respect to its lower speed limit. Using methods enabled by oversampling with an FPGA, the extent to which the lower speed limit can be reduced is investigated. First, the non-linearity of the inverter is improved by using deadtime compensation (DTCO), which pre-calculates the currents at the switching instants and mitigates the interference voltage. Second, a grey box model (GM) filter is used to increase the signal-to-noise ratio of the current measurement. The GM filter is derived by using the difference between machine models with and without iron resistance. Finally, the two approaches are combined.
KW - dead time compensation
KW - FPGA
KW - Induction machine
KW - iron resistance
KW - self-sensing control
UR - http://www.scopus.com/inward/record.url?scp=85201736042&partnerID=8YFLogxK
U2 - 10.1109/SPEEDAM61530.2024.10609043
DO - 10.1109/SPEEDAM61530.2024.10609043
M3 - Conference contribution
AN - SCOPUS:85201736042
SN - 979-8-3503-8760-5
SP - 849
EP - 854
BT - 2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2024
Y2 - 19 June 2024 through 21 June 2024
ER -