Model Predictive Torque and Stator Flux Control Method for PMSMs with Prediction Error Compensation

被引：0

作者：

Zhou Q. ^{[1
]}

Liu F. ^{[1
]}

Wu Z. ^{[1
]}

Gong H. ^{[1
]}

Du G. ^{[1
]}

机构：

[1] College of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an

来源：

Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | 2022年 / 37卷 / 22期

关键词：

parameter robustness; Permanent magnet synchronous motors; prediction error compensation; predictive control of torque and stator flux;

D O I：

10.19595/j.cnki.1000-6753.tces.220617

中图分类号：

学科分类号：

摘要：

This paper proposes a model predictive control method with prediction error compensation for permanent magnet synchronous motors (PMSMs), which can improve the poor robustness of motor parameters in the finite-control-set model prediction control. The proposed method has two loops of torque and stator flux separately. The error value between the predicted and actual values at the moment k is fed back to the prediction model at the moment k+1 as a compensation factor. The prediction error of the torque and stator flux was estimated for all voltage vectors in every control cycle to ensure the prediction accuracy. Therefore, when motor parameters are mismatched, the proposed method can achieve reliable torque and stator flux prediction control by online error compensation. Simulation and experimental results prove the effectiveness of the proposed method. © 2022 Chinese Machine Press. All rights reserved.

引用

页码：5728 / 5739

页数：11

共 23 条

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