A novel method to construct dynamic inversion compensation is proposed for feedforward tracking control. In contrast to common approaches involving parametric system identification followed by inversion synthesis, in this article we apply iterative learning control to track an impulse signal, where the converged control input is directly used to construct the inverse filter. The method is applicable to multivariable systems without a diagonalization process. The proposed method is implemented on a linear motor and an active magnetic bearing system, respectively. The experimental results are presented to demonstrate the feedforward tracking performance.

中文翻译：

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动态逆滤波器的前馈跟踪控制迭代学习

提出了一种构造动态反演补偿的前馈跟踪控制新方法。与涉及参数系统识别然后进行反演合成的常见方法相反，在本文中，我们将迭代学习控制应用于跟踪脉冲信号，其中将收敛的控制输入直接用于构造逆滤波器。该方法适用于没有对角化过程的多变量系统。所提出的方法分别在线性电动机和主动磁轴承系统上实现。实验结果表明，前馈跟踪性能。