论文信息 - On Frequency Response Function Identification for Advanced Motion Control

On Frequency Response Function Identification for Advanced Motion Control

A key step in control of precision mechatronic systems is Frequency Response Function (FRF) identification. The aim of this paper is to illustrate relevant developments and solutions for FRF identification for advanced motion control. Specifically dealing with transient and/or closed-loop conditions that can normally lead to inaccurate estimation results. This yields essential insights for FRF identification for advanced motion control that are illustrated through a simulation study and validated on an experimental setup.

Tom Oomen | Robbert Voorhoeve | Enzo Evers

[1] Alireza Karimi,et al. Robust H-infinity Controller Design Using Frequency-Domain Data , 2014 .

[2] Tom Oomen,et al. Beyond decentralized wafer/reticle stage control design: A double-Youla approach for enhancing synchronized motion , 2019, Control Engineering Practice.

[3] Tae Tom Oomen,et al. Non-parametric identification of multivariable systems: A local rational modeling approach with application to a vibration isolation benchmark , 2018 .

[4] Yves Rolain,et al. Frequency Response Function Measurements Using Concatenated Subrecords With Arbitrary Length , 2012, IEEE Transactions on Instrumentation and Measurement.

[5] Tae Tom Oomen,et al. Estimating structural deformations for inferential control: a disturbance observer approach , 2016 .

[6] Rik Pintelon,et al. System Identification: A Frequency Domain Approach , 2012 .

[7] T. McKelvey,et al. Non-parametric frequency response estimation using a local rational model , 2012 .

[8] Gerd Vandersteen,et al. Nonparametric preprocessing in system identification: A powerful tool , 2009, 2009 European Control Conference (ECC).