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On‐line instrumental variable‐based feedforward tuning for non‐resetting motion tasks.

Authors :
Mooren, Noud
Witvoet, Gert
Oomen, Tom
Source :
International Journal of Robust & Nonlinear Control; Dec2023, Vol. 33 Issue 18, p11000-11018, 19p
Publication Year :
2023

Abstract

Summary: Data‐driven feedforward control for tracking of varying and non‐resetting point‐to‐point references requires continuous updating of feedforward parameters instead of task‐by‐task updating. The aim of this paper is to develop an adaptive feedforward controller for non‐resetting point‐to‐point motion tasks by a data‐driven feedforward controller. An approximate optimal instrumental variable (IV) estimator with real‐time bootstrapping is employed in a closed‐loop setting to update the feedforward parameters. A case study on a wafer‐stage and experimental validation on a benchmark motion system show the performance benefit. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
PARAMETER estimation
MOTION

Details

Language :
English
ISSN :
10498923
Volume :
33
Issue :
18
Database :
Complementary Index
Journal :
International Journal of Robust & Nonlinear Control
Publication Type :
Academic Journal
Accession number :
173551604
Full Text :
https://doi.org/10.1002/rnc.6925