On Frequency Response Function Identification for Advanced Motion Control
Enzo Evers, Robbert Voorhoeve, Tom Oomen
TL;DR
This paper reviews recent methods for accurate Frequency Response Function (FRF) identification in advanced motion control, addressing challenges in transient and closed-loop conditions through simulations and experiments.
Contribution
It introduces solutions for improving FRF identification accuracy under transient and closed-loop conditions in advanced motion control systems.
Findings
Enhanced FRF estimation methods for transient conditions
Validated techniques through simulation and experimental results
Insights into FRF identification challenges in closed-loop control
Abstract
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.
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Taxonomy
TopicsControl Systems and Identification · Iterative Learning Control Systems · Hydraulic and Pneumatic Systems