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华侨大学 信息科学与工程学院,福建 厦门 361000
[ "王荣坤(1986-),男,福建泉州人,博士,副教授,硕士生导师,2008年于福州大学获得学士学位,2013年于中国科学院近代物理研究所获得博士学位,主要从事电气传动与电能变换技术方面的研究。E-mail: wangrongkun@hqu.edu.cn" ]
[ "汪志鑫(1997-),男,福建泉州人,硕士研究生,2020年于江苏海洋大学获得学士学位,主要从事电气传动与电能变换技术方面的研究。E-mail: 20014082014@stu.hqu.edu.cn" ]
收稿日期:2022-09-27,
修回日期:2022-11-08,
纸质出版日期:2023-05-25
移动端阅览
王荣坤,汪志鑫,杜全恺等.永磁直线同步电机的多步虚拟位置预测控制[J].光学精密工程,2023,31(10):1475-1486.
WANG Rongkun,WANG Zhixin,DU Quankai,et al.Multi-step virtual position predictive control of permanent magnet linear synchronous motor[J].Optics and Precision Engineering,2023,31(10):1475-1486.
王荣坤,汪志鑫,杜全恺等.永磁直线同步电机的多步虚拟位置预测控制[J].光学精密工程,2023,31(10):1475-1486. DOI: 10.37188/OPE.20233110.1475.
WANG Rongkun,WANG Zhixin,DU Quankai,et al.Multi-step virtual position predictive control of permanent magnet linear synchronous motor[J].Optics and Precision Engineering,2023,31(10):1475-1486. DOI: 10.37188/OPE.20233110.1475.
预测控制是一种通过数学模型对电机未来行为进行预测与调整,以此减小系统时延影响的优化控制方法。系统时延是一种非线性时变扰动,难以被准确估算与补偿,降低了传统位置预测控制应用于直线电机这类响应快速对象时的位置跟踪性能。本文分析了永磁直线同步电机的系统时延来源与影响,在预测模型中引入主动变速系数来降低系统时延以加快电机响应速度,解决了传统预测控制无法进行滚动优化的问题进而提出了一种多步虚拟位置预测控制,实现高性能系统时延补偿。文章对一台医用显微镜用小功率永磁直线同步电机进行仿真和实验,结果表明所提方法能够加快电机动态响应速度,并且在对三角、正弦等不同类型曲线的跟踪中均能够降低系统时延的影响,位置跟踪精度相较传统位置预测控制提高了约20%。
Notably, predictive control is an optimal control strategy that reduces the impact of system delays by predicting and adjusting the future behavior of a motor using mathematical models. System delays are nonlinear time-varying disturbances that are often difficult to accurately estimate and compensate for. Moreover, they degrade the position tracking performance of conventional position predictive control when applied to fast responding objects such as linear motors. This study analyzes the sources and effects of system delays in a permanent magnet synchronous linear motor. A multi-step virtual positive predictive control is proposed by introducing an active variable speed coefficient into the prediction model to reduce the system delay and speed up motor response. This addresses the observed decrease in motor speed with a decrease in the position prediction error during the tracking process of conventional predictive control, which often leads to the failure of rolling optimization, and realizes time delay compensation for high-performance systems. This study experimentally simulates a low-power permanent magnet linear synchronous motor for medical microscopes. The proposed method can accelerate the dynamic response of the motor and reduce the effect of system delays on the tracking of different types of curves such as triangular and sinusoidal. In particular, the position tracking accuracy is improved by approximately 20% over that of conventional position predictive control.
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