Abstract Data-driven feedforward tuning enables high performance for control systems that perform varying tasks by using past measurement data. The aim of this paper is to develop an approach for data-driven feedforward tuning that achieves high accuracy and at the same time is computationally inexpensive. A linear parametrization is employed that enables parsimonious modeling of inverse systems for feedforward through the use of non-causal rational orthonormal basis functions in L 2 . The benefits of the proposed parametrization are experimentally demonstrated on an industrial printer, including pre-actuation and cyclic pole repetition.

中文翻译：

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使用非因果理性基函数的数据驱动前馈调整：应用于工业平板打印机

摘要 数据驱动的前馈调谐为使用过去的测量数据执行不同任务的控制系统提供高性能。本文的目的是开发一种数据驱动的前馈调谐方法，该方法可实现高精度，同时计算成本低。采用线性参数化，通过使用 L 2 中的非因果有理正交基函数，可以对逆系统进行简约建模以进行前馈。所提出的参数化的好处在工业打印机上得到了实验证明，包括预驱动和循环极点重复。