微特电机 ›› 2024, Vol. 52 ›› Issue (12): 37-43.

• 驱动控制 • 上一篇    下一篇

基于虚拟双质量模型及状态反馈的 PMSLM速度环自调试方法

陈浩荣,周扬忠   

  1. 福州大学 福建省新能源发电与电能变换重点实验室,福州 350116
  • 收稿日期:2024-08-06 出版日期:2024-12-28 发布日期:2025-01-07

PMSLM Speed Loop Self-Tuning Method Based on Virtual Double Mass Model and State Feedback

CHEN Haorong, ZHOU Yangzhong   

  1. Fujian Key Laboratory of New Energy Generation and Power Conversion,Fuzhou University,Fuzhou 350116,China
  • Received:2024-08-06 Online:2024-12-28 Published:2025-01-07

摘要: 永磁同步直线电机直接驱动负载存在驱动系统数学建模困难、个别频率点共振现象突出等特征,导致速度闭环控制器参数手动最佳整定困难。 为解决该问题,提出了一种速度环的自调试方法。 为描述个别频率点共振现象,提出虚拟双质量模型,结合 q 轴电流-速度频率响应数据及复向量拟合算法辨识双质量模型参数;以动子速度、弹性力、负载末端速度及动子速度误差积分值为基础,构建速度闭环的状态反馈控制策略,按照抑制共振及二阶临界阻尼原则配置反馈系数。 实验结果表明, 动子速度无超调且快速跟踪给定值, 并能有效抑制机械共振,实现了速度环的自调试。

关键词: 永磁同步直线电机, 双质量系统, 机械共振, 状态反馈控制, 频率响应

Abstract: As the permanent magnet synchronous linear motor ( PMSLM) drives the load directly, the mathematical modeling of the drive system is difficult, and the resonance phenomenon is prominent in some cases, which leads to the difficulty of manual optimal setting of the parameters of the speed closed-loop controller. To adress the issue, selftuning method of velocity loop was proposed. In order to describe the resonance phenomenon of individual frequency points, a virtual double mass model was proposed, and the parameters of the double mass model were identified by combining q-axis current-velocity frequency response data and complex vector fitting algorithm. Based on the dynamic velocity, elastic force, load end velocity and dynamic velocity error integral, the state feedback control strategy of velocity closed-loop was constructed, and the feedback coefficient was configured according to the principle of resonance suppression and second-order critical damping. The experimental results show that the actuator speed can track the given value quickly without overshoot, and the mechanical resonance can be effectively suppressed, realizing the self-tuning of the velocity loop.

Key words: permanent magnet synchronous linear motor( PMSLM), double mass system, mechanical resonance, state feedback control, frequency response

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