| 引用本文: | 郭磊磊,王朋帅,李琰琰,陈亚斐,金楠.一种永磁同步电机可视化双矢量调制模型预测控制方法[J].电力自动化设备,2023,43(1): |
| GUO Leilei,WANG Pengshuai,LI Yanyan,CHEN Yafei,JIN Nan.Visual dual-vector modulated model predictive control method for permanent magnet synchronous motor[J].Electric Power Automation Equipment,2023,43(1): |
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| 摘要: |
| 针对常规永磁同步电机单矢量模型预测控制存在电流谐波较大的问题，采用了一种永磁同步电机双矢量调制模型预测控制方法，以降低电流谐波。首先，定义了一个与常规单矢量模型预测控制相同的目标函数；然后，根据逆变器8个基本电压矢量构建了12个虚拟电压矢量，在计算电压矢量作用时间时，假设每个电压矢量的作用时间与其对应的目标函数值成反比；最后，为了降低计算量，使用了一种改进的电压矢量预选方法，但该双矢量调制模型预测控制方法仍缺乏严格的理论基础。因此提出一种可视化方法来详细证明了所述双矢量调制模型预测控制的有效性，从而为调制模型预测控制及其推广应用提供了坚实的理论基础。所提可视化分析方法还可以扩展到三矢量模型预测控制中。详细的对比实验结果验证了所述控制方法的有效性以及所提可视化分析的正确性。 |
| 关键词: 永磁同步电机 双矢量 模型预测控制 可视化 有效性证明 |
| DOI：10.16081/j.epae.202205058 |
| 分类号:TM341 |
| 基金项目:国家自然科学基金资助项目(51707176)；河南省青年人才托举工程项目(2019HYTP021)；河南省科技攻关计划项目(212102210021) |
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| Visual dual-vector modulated model predictive control method for permanent magnet synchronous motor |
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GUO Leilei, WANG Pengshuai, LI Yanyan, CHEN Yafei, JIN Nan
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College of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China
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| Abstract: |
| In order to solve the problem of large current harmonics in the conventional single-vector model predictive control for permanent magnet synchronous motor, a dual-vector modulated model predictive control method for permanent magnet synchronous motor is used to reduce the current harmonics. Firstly, an objective function which is the same as that of conventional single vector model predictive control is defined. Secondly, 12 virtual voltage vectors are constructed according to the 8 basic voltage vectors of the inverter. When calculating the action times of the voltage vectors, it is assumed that the action time of each voltage vector is inversely proportional to its corresponding cost function value. Finally, in order to reduce the calculation amount, an improved voltage vector preselection method is also used. However, the dual-vector modulated model predictive control method still lacks a strict theoretical basis. Thus, a visualization method is proposed to prove the effectiveness of the proposed dual-vector modulated model predictive control in detail, which provides a solid theoretical basis for the modulated model predictive control and its popularization and application. In addition, the proposed visual analysis method can also be extended to three-vector model predictive control. The detailed contrastive experimental results verify the effectiveness of the described control method and the correctness of the proposed visual analysis. |
| Key words: permanent magnet synchronous motor dual-vector model predictive control visualization effectiveness verification |
