Cross-Coupled Iterative Learning Control: A Computationally Efficient Approach Applied to an Industrial Flatbed Printer

L.I.M. Aarnoudse; J.J. Kon; K.H.J. Classens; M. van Meer; M.M. Poot; P.J.M.M. Tacx; Nard W.A. Strijbosch; Tom A.E. Oomen

doi:10.1016/j.mechatronics.2024.103170

Cross-Coupled Iterative Learning Control: A Computationally Efficient Approach Applied to an Industrial Flatbed Printer

L.I.M. Aarnoudse (Corresponding author)
, J.J. Kon
, K.H.J. Classens
, M. van Meer
, M.M. Poot
, P.J.M.M. Tacx
, Nard W.A. Strijbosch
, Tom A.E. Oomen

Research output: Contribution to journal › Article › Academic › peer-review

2 Citations (Scopus)

354 Downloads (Pure)

Abstract

Cross-coupled iterative learning control (ILC) can improve the contour tracking performance of manufacturing systems significantly. This paper aims to develop a framework for norm-optimal cross-coupled ILC that enables intuitive tuning of time- and iteration-varying weights of the exact contour error and its tangential counterpart. This leads to an iteration-varying ILC algorithm for which convergence conditions are developed. In addition, a resource-efficient implementation is developed that reduces the computational load significantly and enables the use of long reference signals. The approach is experimentally validated on an industrial flatbed printer.

Original language	English
Article number	103170
Number of pages	10
Journal	Mechatronics
Volume	99
DOIs	https://doi.org/10.1016/j.mechatronics.2024.103170
Publication status	Published - May 2024

Funding

This work is part of the research programme VIDI with project number 15698, which is (partly) financed by the NWO.

Funders
Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Keywords

Contour tracking
Feedforward control
Iterative learning control

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title = "Cross-Coupled Iterative Learning Control: A Computationally Efficient Approach Applied to an Industrial Flatbed Printer",

abstract = "Cross-coupled iterative learning control (ILC) can improve the contour tracking performance of manufacturing systems significantly. This paper aims to develop a framework for norm-optimal cross-coupled ILC that enables intuitive tuning of time- and iteration-varying weights of the exact contour error and its tangential counterpart. This leads to an iteration-varying ILC algorithm for which convergence conditions are developed. In addition, a resource-efficient implementation is developed that reduces the computational load significantly and enables the use of long reference signals. The approach is experimentally validated on an industrial flatbed printer.",

keywords = "Contour tracking, Feedforward control, Iterative learning control",

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year = "2024",

month = may,

doi = "10.1016/j.mechatronics.2024.103170",

language = "English",

volume = "99",

journal = "Mechatronics",

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TY - JOUR

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T2 - A Computationally Efficient Approach Applied to an Industrial Flatbed Printer

AU - Aarnoudse, L.I.M.

AU - Kon, J.J.

AU - Classens, K.H.J.

AU - van Meer, M.

AU - Poot, M.M.

AU - Tacx, P.J.M.M.

AU - Strijbosch, Nard W.A.

AU - Oomen, Tom A.E.

PY - 2024/5

Y1 - 2024/5

N2 - Cross-coupled iterative learning control (ILC) can improve the contour tracking performance of manufacturing systems significantly. This paper aims to develop a framework for norm-optimal cross-coupled ILC that enables intuitive tuning of time- and iteration-varying weights of the exact contour error and its tangential counterpart. This leads to an iteration-varying ILC algorithm for which convergence conditions are developed. In addition, a resource-efficient implementation is developed that reduces the computational load significantly and enables the use of long reference signals. The approach is experimentally validated on an industrial flatbed printer.

AB - Cross-coupled iterative learning control (ILC) can improve the contour tracking performance of manufacturing systems significantly. This paper aims to develop a framework for norm-optimal cross-coupled ILC that enables intuitive tuning of time- and iteration-varying weights of the exact contour error and its tangential counterpart. This leads to an iteration-varying ILC algorithm for which convergence conditions are developed. In addition, a resource-efficient implementation is developed that reduces the computational load significantly and enables the use of long reference signals. The approach is experimentally validated on an industrial flatbed printer.

KW - Contour tracking

KW - Feedforward control

KW - Iterative learning control

UR - https://www.scopus.com/pages/publications/85187802098

U2 - 10.1016/j.mechatronics.2024.103170

DO - 10.1016/j.mechatronics.2024.103170

M3 - Article

SN - 0957-4158

VL - 99

JO - Mechatronics

JF - Mechatronics

M1 - 103170

ER -

Cross-Coupled Iterative Learning Control: A Computationally Efficient Approach Applied to an Industrial Flatbed Printer

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