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

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‐M...

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Published in:IET electric power applications 2021-06, Vol.15 (6), p.681-695
Main Authors: Qu, Jianzhen, Jatskevich, Juri, Zhang, Chengning, Zhang, Shuo
Format: Article
Language:English
Subjects:
angular velocity control
machine vector control
permanent magnet motors
predictive control
synchronous motor drives
torque control
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cited_by cdi_FETCH-LOGICAL-c3750-4b9804872e54eeed23e226ae1a5f488d788ff4cd3a745a012d33605ddea6bc593
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description 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.
doi_str_mv 10.1049/elp2.12050
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subjects angular velocity control
machine vector control
permanent magnet motors
predictive control
synchronous motor drives
torque control
title Improved multiple vector model predictive torque control of permanent magnet synchronous motor for reducing torque ripple
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