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Improved multiple vector model predictive torque control of permanent magnet synchronous motor for reducing torque ripple

  • Jianzhen Qu
  • , Juri Jatskevich
  • , Chengning Zhang
  • , Shuo Zhang*
  • *此作品的通讯作者

科研成果: 期刊稿件文章同行评审

摘要

The two-voltage-vector (2VV) model predictive torque control (MPTC) has been widely discussed and compared to the conventional single-voltage-vector (1VV) MPTC in permanent magnet synchronous motor drive applications, where it was shown to have quick response and low torque ripple. An improved 2VV-MPTC is set forth based on extended control set. In the proposed approach, the reference voltage vector is calculated using the established torque and flux deadbeat control and optimal calculation of the duty cycles. Moreover, to further improve the torque performance, the proposed algorithm is extended to three-voltage vector (3VV), which is shown to achieve even better performance. Experimental results demonstrate that the proposed 2VV and 3VV-MPTC algorithms have better computation efficiency and can significantly reduce torque ripple compared to the previous methods.

源语言英语
页(从-至)681-695
页数15
期刊IET Electric Power Applications
15
6
DOI
出版状态已出版 - 6月 2021

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