A Feedback-Error-Driven Method for Deadbeat Model Predictive Control Algorithm of PMSM

Aiming at the problem of current harmonics in MPTC, this paper designs a closed-loop compensation for torque and flux reference values. The stator current value under the reference voltage vector and the current under the actual voltage vector output are calculated respectively. Secondly, torque and flux are compensated based on the error between the reference current value and the actual current value, so as to realize the correction of the voltage vector. This method achieves a significant reduction in current harmonics.

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Publication Details

Published
2024-11-26
DOI
https://doi.org/10.23919/icems60997.2024.10921032
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

A Feedback-Error-Driven Method for Deadbeat Model Predictive Control Algorithm of PMSM

Jiasheng Yin, Zhiman Lu, Jing-Lin Liu
Advanced Control Systems Optimization
article

A Feedback-Error-Driven Method for Deadbeat Model Predictive Control Algorithm of PMSM

Jiasheng Yin, Zhiman Lu, Jing-Lin Liu
article en

Abstract

Aiming at the problem of current harmonics in MPTC, this paper designs a closed-loop compensation for torque and flux reference values. The stator current value under the reference voltage vector and the current under the actual voltage vector output are calculated respectively. Secondly, torque and flux are compensated based on the error between the reference current value and the actual current value, so as to realize the correction of the voltage vector. This method achieves a significant reduction in current harmonics.

Northwestern Polytechnical University (CN)
Northwestern Polytechnical University
Openalex Percentile: Top 64%
Advanced Control Systems Optimization
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