Abstract
This article proposes an improved multi-vector model predictive current control (MPCC) for permanent magnet synchronous motor based on the incremental model, which can improve the current quality while maintaining better parameter robustness. The innovation point of the proposed scheme is to improve the current quality under parameter mismatch. In specific, a duty cycle calculation method is newly proposed, which can directly calculate the duty cycle without utilizing the flux linkage parameter. Therefore, the combination of incremental model and multi-vector MPCC can be realized, and the robustness of flux linkage parameter is improved on the premise of high current control accuracy. In addition, an inductance extraction algorithm based on extended Kalman observer is proposed to improve the robustness of inductance parameters. The extended Kalman observer is used to identify the variation of voltage disturbance caused by parameter mismatch in real time, and then the inductance errors can be extracted from the identified voltage disturbance to update the control variables in real time. Finally, compared with the single-vector MPCC based on incremental model, the proposed scheme improves the control performance in terms of current quality, parameter robustness as indicated by the simulation and experimental results.
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Acknowledgements
This work was supported in part by the National Natural Science Foundation of China under Grants 52130706 and 51777216.
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Dong, H., Wang, Y. Multi-vector Robust Model Predictive Current Control for PMSM Based on Incremental Model. J. Electr. Eng. Technol. 18, 3657–3669 (2023). https://doi.org/10.1007/s42835-023-01454-7
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DOI: https://doi.org/10.1007/s42835-023-01454-7