Position-Dependent Snap Feedforward

A Gaussian Process Framework

Conference Paper (2022)
Author(s)

Max Van Haren (Eindhoven University of Technology)

Maurice Poot (Eindhoven University of Technology)

Jim Portegies (Eindhoven University of Technology)

T. Oomen (TU Delft - Team Jan-Willem van Wingerden, Eindhoven University of Technology)

Research Group
Team Jan-Willem van Wingerden
Copyright
© 2022 Max van Haren, Maurice Poot, Jim Portegies, T.A.E. Oomen
DOI related publication
https://doi.org/10.23919/ACC53348.2022.9867449
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Max van Haren, Maurice Poot, Jim Portegies, T.A.E. Oomen
Research Group
Team Jan-Willem van Wingerden
Pages (from-to)
4778-4783
ISBN (print)
978-1-6654-5196-3
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Mechatronic systems have increasingly high performance requirements for motion control. The low-frequency contribution of the flexible dynamics, i.e., the compliance, should be compensated for by means of snap feedforward to achieve high accuracy. Position-dependent compliance, which often occurs in motion systems, requires the snap feedforward parameter to be modeled as a function of position. Position-dependent compliance is compensated for by using a Gaussian process to model the snap feedforward parameter as a continuous function of position. A simulation of a flexible beam shows that a significant performance increase is achieved when using the Gaussian process snap feedforward parameter to compensate for position-dependent compliance.

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