Rational Basis Functions in Iterative Learning Control for Multivariable Systems

Rational Basis Functions in Iterative Learning Control for Multivariable Systems

Poot, Maurice (Eindhoven University of Technology)
Portegies, Jim (Eindhoven University of Technology)
Kostić, Dragan (ASMPT Ltd.)
Oomen, T.A.E. (TU Delft Team Jan-Willem van Wingerden; Eindhoven University of Technology)

2023

Feedforward control with task flexibility for MIMO systems is essential to meet ever-increasing demands on throughput and accuracy. The aim of this paper is to develop a framework for data-driven tuning of rational feedforward controllers in iterative learning control (ILC) for noncommutative MIMO systems. A convex optimization problem in ILC is achieved by rewriting the nonlinear terms in the control scheme as a function of the previous feedforward parameters. A simulation study on an multivariable industrial printer shows that the developed framework converges and achieves significant better performance than direct application of the RBF algorithm using SK-iterations for SISO systems.

http://resolver.tudelft.nl/uuid:d0ee22d5-2309-47f1-847a-27fa0b20f695

https://doi.org/10.1109/CDC49753.2023.10383932

IEEE

2024-07-19

979-8-3503-0124-3

Proceedings of the 62nd IEEE Conference on Decision and Control (CDC 2023)

62nd IEEE Conference on Decision and Control, CDC 2023, 2023-12-13 → 2023-12-15, Singapore, Singapore

Proceedings of the IEEE Conference on Decision and Control, 0743-1546

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

conference paper

© 2023 Maurice Poot, Jim Portegies, Dragan Kostić, T.A.E. Oomen