Abstract
With the increase of high-reliability requirements, the multiphase machine draws considerable attention from the field of transportation electrification. However, the presence of third-order harmonic subspaces in five-phase machines poses greater challenges for high-speed applications, particularly due to the low sampling-to-fundamental (S2F) frequency ratios observed in higher-order subspaces. In this case, the electrical speed in third-order harmonic subspace is three times of that in fundamental subspace. The closed-loop control system performance deteriorates gradually or even becomes unstable due to cross-coupling in dq axis. Therefore, a Smith predictor-based decoupling control is proposed to eliminate the cross-coupling at low S2F frequency ratios. Additionally, the proposed method offers a solution to ensure the control stability of high-speed five-phase motors.
| Original language | English |
|---|---|
| Title of host publication | PEAS 2023 - 2023 IEEE 2nd International Power Electronics and Application Symposium, Conference Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 518-522 |
| Number of pages | 5 |
| ISBN (Electronic) | 9798350313765 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 2nd IEEE International Power Electronics and Application Symposium, PEAS 2023 - Guangzhou, China Duration: 10 Nov 2023 → 13 Nov 2023 |
Publication series
| Name | PEAS 2023 - 2023 IEEE 2nd International Power Electronics and Application Symposium, Conference Proceedings |
|---|
Conference
| Conference | 2nd IEEE International Power Electronics and Application Symposium, PEAS 2023 |
|---|---|
| Country/Territory | China |
| City | Guangzhou |
| Period | 10/11/23 → 13/11/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Free Keywords
- Five-phase PMSM
- sampling-to-fundamental (S2F)
- Smith predictor
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
- Control and Optimization
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