Multi-layer spatial iterative learning control for micro-additive manufacturing

Leontine Aarnoudse, Christopher Pannier, Zahra Afkhami, Tom Oomen, Kira Barton

Research output: Contribution to journalConference articleAcademicpeer-review

5 Citations (Scopus)
20 Downloads (Pure)


Spatial iterative learning control (SILC) has been used in the control of additive manufacturing systems that can be described by their spatial dynamics. Since the current framework is limited to single-layer parts, the aim of this paper is to provide an approach to multi-layer SILC using learning in the layer-to-layer dimension. Mathematical formulation of a multi-layer SILC controller is provided, and active feedback control is demonstrated to reduce the error accumulation over the iterations. Simulation results using a model of high-resolution e-jet printing verify performance improvements for the proposed framework.
Original languageEnglish
Pages (from-to)97-102
Number of pages6
Issue number15
Publication statusPublished - Sep 2019
Event8th IFAC Symposium on Mechatronic Systems (MECHATRONICS 2019), and 11th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2019) Vienna, Austria - Vienna, Austria
Duration: 4 Sep 20196 Sep 2019


  • Control applications
  • Feedback control
  • Learning control
  • Micro-additive manufacturing
  • Spatial domain
  • Feedback Control
  • Micro-Additive Manufacturing
  • Control Applications
  • Spatial Domain
  • Learning Control


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