Intermittent Sampling in Repetitive Control

Exploiting Time-Varying Measurements

Conference Paper (2021)
Author(s)

Johan Kon (Eindhoven University of Technology)

Nard Strijbosch (Eindhoven University of Technology)

Sjirk Koekebakker (Eindhoven University of Technology)

T.A.E. Oomen (TU Delft - Mechanical Engineering)

Research Group
Team Jan-Willem van Wingerden
DOI related publication
https://doi.org/10.1109/CDC45484.2021.9683755 Final published version
More Info
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Publication Year
2021
Language
English
Research Group
Team Jan-Willem van Wingerden
Pages (from-to)
6566-6571
ISBN (print)
978-1-6654-3659-5
Event
60th IEEE Conference on Decision and Control (CDC 2021) (2021-12-14 - 2021-12-17), Austin, United States
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Abstract

The performance increase up to the sensor resolution in repetitive control (RC) invalidates the standard assumption in RC that data is available at equidistant time instances, e.g., in systems with package loss or when exploiting timestamped data from optical encoders. The aim of this paper is to develop an intermittent sampling RC framework for non-equidistant measurements. Sufficient stability conditions are derived that can be verified using non-parametric frequency response function data. This results in a frequency domain design procedure to explicitly address uncertainty. The RC framework is validated on an industrial printbelt setup for which exact non-equidistant measurement data is available.

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