| 低载波比下永磁同步电机多采样模型预测控制 |
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| 引用本文： | 郭磊磊,许志业,李琰琰,李伟韬.低载波比下永磁同步电机多采样模型预测控制[J].陕西电力,2021,0(6):91-98. |
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| 作者姓名： | 郭磊磊 许志业 李琰琰 李伟韬 |
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| 作者单位： | （郑州轻工业大学 电气信息工程学院，河南 郑州 450002） |
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| 摘 要： | 针对常规永磁同步电机模型预测控制在低载波比下存在电流控制误差较大的问题，提出了一种永磁同步电机多采样模型预测控制方法。 首先介绍了常规三矢量模型预测控制的基本原理， 通过仿真分析了载波比变化对三矢量模型预测控制的影响。然后针对常规方法所存在的问题提出了一种多采样模型预测控制方法， 通过仿真分析了每周期内采样和预测次数对电流控制精度的影响， 所提方法在一个控制周期内进行多次采样和预测，大幅提高了电流控制精度。最后，与矢量控制进行仿真对比验证了所提方法的有效性。
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| 关 键 词： | 永磁同步电机 模型预测控制 多采样 低载波比 |
Multi-sampling Model Predictive Control for Permanent Magnet Synchronous Motor Under Low Switching-to-Fundamental Frequency Ratio |
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| GUO Leilei,XU Zhiye,LI Yanyan,LI Weitao.Multi-sampling Model Predictive Control for Permanent Magnet Synchronous Motor Under Low Switching-to-Fundamental Frequency Ratio[J].Shanxi Electric Power,2021,0(6):91-98. |
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| Authors: | GUO Leilei XU Zhiye LI Yanyan LI Weitao |
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| Affiliation: | （College of Electric and Information Engineering，Zhengzhou University of Light Industry，Zhengzhou 450002， China） |
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| Abstract: | Aiming at the problem of large current control errors in the conventional model predictive control for permanent magnet synchronous motor under low switching-to-fundamental frequency ratio， a multi-sampling model predictive control method is proposed.Firstly， the basic principle of conventional three-vector model predictive control method is introduced， the influences of the switching-to-fundamental frequency ratio variation on three-vector model predictive control is analyzed through simulation study. Then，a multi-sampling model predictive control method is proposed to solve the problems existing in the conventional methods. Next，the influences of the sampling and predicting times per control period on the current control accuracy is analyzed through simulation.The proposed method can perform multiple sampling and prediction within a control period， which greatly improves the accuracy of current control. Finally，the effectiveness of the proposed method is further verified by comparing with the vector control through simulation study. |
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| Keywords: | permanent magnet synchronous motor model predictive control multi-sampling low switching-to-fundamental frequency ratio |
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