Abstract
In this paper, to further improve the performance of dynamic and anti-interference of the permanent magnet synchronous motor (PMSM) control system, the grey control strategy of predictive current for PMSM is proposed by analyzing the characteristics of the actual current response in control system and making full use of historical current data to adjust the current value quickly to follow the change of the given value. The off-line simulation is carried out in condition of rated load and sudden load. Compared with the classical vector control and traditional predictive current control, the proposed algorithm reaches the given speed rapidly and has the performance of good response and small overshoot. It also has the better dynamic and anti-interference performance. To further verify the effectiveness of the proposed control strategy, the real-time simulation of the proposed algorithm is carried out by dSPACE system.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 2386-2390 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781509026050 |
| DOIs | |
| State | Published - 19 Oct 2016 |
| Event | 11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016 - Hefei, China Duration: 5 Jun 2016 → 7 Jun 2016 |
Publication series
| Name | Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016 |
|---|
Conference
| Conference | 11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016 |
|---|---|
| Country/Territory | China |
| City | Hefei |
| Period | 5/06/16 → 7/06/16 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- dSPACE
- grey model
- permanent magnet synchronous motor (PMSM)
- predictive current control
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