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

Jianzhen Qu, Juri Jatskevich, Chengning Zhang, Shuo Zhang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)681-695
Number of pages15
JournalIET Electric Power Applications
Volume15
Issue number6
DOIs
Publication statusPublished - Jun 2021

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