2020/06/18 by Enzo Evers, Evers, Enzo, Robbert Voorhoeve +3
Engineering · #Control Systems and Identification #FOS: Electrical engineering #Hydraulic and Pneumatic Systems #Iterative Learning Control Systems #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · doi:10.48550/arxiv.2006.10373
openalex publication_date 2020/06/18 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.