Abstract
Permanent magnet synchronous machines are a popular choice for electric vehicle propulsion, with both interior and surface magnet rotor designs in use. Position feedback is required for commutation, with minimal phase delay. Speed data should be able to track the vehicle speed at maximum acceleration. Elimination of the shaft position sensor reduces cost and improves reliability, but can be challenging for surface magnet machines at low speeds, due to their lack of saliency. However, bread-loaf and inset magnets give sufficient saliency to make signal injection position estimation schemes viable. Experimental results are presented for a commercial 3.27kW machine, using signal injection at low speeds and transitioning to a novel model reference adaptive system back emf estimation scheme at high speeds, which employs an iterative search algorithm to reduce position tracking delays. The rationale for selection of filter frequencies and tuning gains is explained.
Original language | English |
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Title of host publication | 2019 10th International Conference on Power Electronics and ECCE Asia (ICPE 2019 - ECCE Asia) |
Publisher | IEEE |
Pages | 1-10 |
Number of pages | 10 |
Publication status | Published - 15 Aug 2019 |
Event | 10th International Conference on Power Electronics - Busan, Korea, Republic of Duration: 27 May 2019 → 30 May 2019 |
Conference
Conference | 10th International Conference on Power Electronics |
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Abbreviated title | ICPE 2019- ECCE ASIA |
Country/Territory | Korea, Republic of |
City | Busan |
Period | 27/05/19 → 30/05/19 |
Keywords
- Permanent Magnet motor
- Speed estimation
- MRAS
- signal injection