Abstract
This paper proposes an advanced sequential finite-element-based model predictive torque and flux control (SQ-FE-MPTFC) method to mitigate the torque ripple of the interior permanent magnet synchronous motor (IPMSM) while simplifying the control implementation by preselecting a reduced control set and eliminating the need for a weighting factor. This strategy optimally selects a combination of active-and zero-voltage vectors at every control cycle and obtains the switching instant based on an adjustable torque-error tolerance and the torque deviation produced by the AVV. First, considering the torque-error tolerance, it preselects two candidate AVVs among those admitted by the two-level voltage source inverter. Then, the switching instant of each candidate is decided using its predicted torque deviation to satisfy the minimum torque ripple. Among these candidates, the optimal one with its corresponding duty time is selected based on a weighting factor-less cost function that considers the flux-amplitude error. Finally, the FE-based IPMSM model is used to verify the effectiveness of the proposed method by simulations in Matlab/Simulink environment.
Original language | English |
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Title of host publication | 2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE) |
Publisher | IEEE |
Pages | 1081-1086 |
Number of pages | 6 |
ISBN (Electronic) | 9781665479059 |
DOIs | |
Publication status | Published - Jun 2022 |
Event | International Conference on Energy, Electrical and Power Engineering ( - Chongqing, China Duration: 22 Apr 2022 → 24 Apr 2022 Conference number: 5th |
Conference
Conference | International Conference on Energy, Electrical and Power Engineering ( |
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Abbreviated title | CEEPE |
Country/Territory | China |
City | Chongqing |
Period | 22/04/22 → 24/04/22 |
Keywords
- Finite-element-based model
- interior permanent magnet
- IPMSM
- low complexity
- predictive control
- ripple reduction
- voltage vectors