Abstract
This paper presents a simplified model predictive torque control (PTC) algorithm for surface-mounted five phase permanent magnet synchronous motors with non-sinusoidal back-EMF. The number of weighting factors is greatly reduced in comparison to conventional model predictive torque control. Three cost functions are evaluated in sequential manner to control the total torque and direct-axis currents. In the proposed method, the control performances can be adjusted by changing the selection criteria of the candidate voltage vectors, while it is done by tuning the weighting factors in conventional PTC. Simulation results have shown that, with the proposed method, predictive torque control of multiphase motor drives can be realized in a more simple and flexible way.
| Original language | English |
|---|---|
| Title of host publication | Proceedings |
| Subtitle of host publication | IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 5855-5859 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781509066841 |
| DOIs | |
| State | Published - 26 Dec 2018 |
| Event | 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018 - Washington, United States Duration: 20 Oct 2018 → 23 Oct 2018 |
Publication series
| Name | Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society |
|---|
Conference
| Conference | 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018 |
|---|---|
| Country/Territory | United States |
| City | Washington |
| Period | 20/10/18 → 23/10/18 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Model predictive control
- Multiphase motor drives
- Non-sinusoidal back-EMF
- Predictive torque control
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