永磁同步电机多矢量模型预测电流控制
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1.重庆理工大学电气与电子工程学院 重庆 400054;2.重庆中烟工业有限责任公司 重庆 400060; 3.大陆汽车研发有限公司 重庆 401121

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TM351;TN602

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国家自然科学基金(52206071)、重庆市自然科学基金(CSTC2020JCYJ-MSXMX0185)项目资助


Multi-vector model predictive current control for PMSM
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1.School of Electrical and Electronic Engineering, Chongqing University of Technology,Chongqing 400054,China; 2.Chongqing China Tobacco Industrial Company,Chongqing 400060,China; 3.Continental Automotive Research and Development Corporation,Chongqing 401121,China

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    摘要:

    针对传统三矢量模型预测控制策略存在的矢量选择计算量大、各矢量作用时间计算复杂与存在较大共模电压的问题,提出了多矢量模型预测电流控制策略。首先针对较大共模电压问题,提出利用有效电压矢量合成代替传统零矢量,同时利用电压矢量选择表与电压矢量位置角快速选择矢量,减少矢量选择计算量,其次采用电压误差占空比的方式简化计算各矢量作用时间,最后通过仿真与实物平台验证其有效性,证明了该控制算法在提高系统稳态性能的同时抑制了较大共模电压对于电机的影响。

    Abstract:

    In order to solve the problems of the traditional threevector model predictive control strategy, such as large calculation amount of vector selection, complicated calculation of operation time of each vector and large common mode voltage, a multi-vector model predictive current control strategy is proposed. Firstly, to solve the problem of large common-mode voltage, it is proposed to replace traditional zero vector with effective voltage vector synthesis, and use voltage vector selection table and voltage vector position angle to quickly select vectors and reduce the calculation amount of vector selection. Secondly, voltage error duty cycle is adopted to simplify the calculation of the operation time of each vector. Finally, its effectiveness is verified by simulation and physical platform. It is proved that the control algorithm can improve the steady-state performance of the system and restrain the influence of large common mode voltage on the motor.

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刘雨洪,徐鹏,舒炜,余希瑞,蔡巍巍.永磁同步电机多矢量模型预测电流控制[J].电子测量技术,2025,48(6):65-72

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  • 在线发布日期: 2025-05-08
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