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Geometric principle-based deadbeat predictive control with low-torque ripple for dual three-phase permanent magnet synchronous motors

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Abstract

Severe torque ripple and determination of the weighting factor pose significant challenges in traditional predictive torque control. A deadbeat predictive torque control scheme designed to minimize torque ripple for dual three-phase permanent magnet synchronous motors is proposed in this paper, eliminating the need for a cost function. Additionally, a novel method for calculating action time based on geometric principles is proposed. First, the deadbeat direct torque and flux control is employed to obtain the reference voltage vector. To reduce the computational burden, the nearest virtual voltage vector is selected directly without a cost function. Subsequently, the torque ripple is further reduced by calculating the corresponding action time based on the introduced geometric relationship in the volt-sec coordinate system. Finally, experimental results demonstrate the effectiveness of the torque ripple reduction method under different working conditions.

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Acknowledgements

This study is supported by Shanghai Natural Science Foundation under Grant 19ZR1418600.

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Authors and Affiliations

  1. School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China

    Shuang Wang, Ying Zhang, Jianfei Zhao & Deliang Wu

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  1. Shuang Wang
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  2. Ying Zhang
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  3. Jianfei Zhao
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  4. Deliang Wu
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Correspondence to Jianfei Zhao.

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Wang, S., Zhang, Y., Zhao, J. et al. Geometric principle-based deadbeat predictive control with low-torque ripple for dual three-phase permanent magnet synchronous motors. J. Power Electron. (2024). https://doi.org/10.1007/s43236-024-00813-5

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  • DOI: https://doi.org/10.1007/s43236-024-00813-5

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