Feedforward of Sampled-Data System for High-Precision Motion Control using Basis Functions with ZOH Differentiator

Conference Paper (2022)
Author(s)

Masahiro Mae (University of Tokyo)

Max van Haren (Eindhoven University of Technology)

Wataru Ohnishi (University of Tokyo)

T.A.E. Oomen (TU Delft - Mechanical Engineering, Eindhoven University of Technology)

Hiroshi Fujimoto (University of Tokyo)

Research Group
Team Jan-Willem van Wingerden
DOI related publication
https://doi.org/10.23919/ACC53348.2022.9867640 Final published version
More Info
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Publication Year
2022
Language
English
Research Group
Team Jan-Willem van Wingerden
Pages (from-to)
3350-3350
ISBN (print)
978-1-6654-5196-3
Event
2022 American Control Conference, ACC 2022 (2022-06-08 - 2022-06-10), Atlanta, United States
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Abstract

Feedforward control has an important role in high-precision mechatronic systems. The aim of this research is to design a discrete-time feedforward controller to improve on-sample and intersample errors. The developed approach is parameterized using a linear combination of parameters and basis functions, which results in a parameterization that has intuitive physical meaning. The basis functions are designed with a differentiator that considers the sampled-data and zero-order-hold aspects. The performance improvement is demonstrated by comparing the developed approach with a conventional basis function design for a motion system.

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