Abstract
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 language | English |
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| Title of host publication | Joint Conference 8th IFAC Symposium on Mechatronic Systems and Proceedings of the 12th IFAC Symposium on Nonlinear Control Systems |
| Pages | 372-377 |
| Number of pages | 6 |
| Publication status | Published - 2019 |
| Event | 8th IFAC Symposium on Mechatronic Systems (MECHATRONICS 2019), and 11th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2019) Vienna, Austria - Vienna, Austria Duration: 4 Sep 2019 → 6 Sep 2019 http://www.mechatronicsnolcos2019.org/ |
Conference
| Conference | 8th IFAC Symposium on Mechatronic Systems (MECHATRONICS 2019), and 11th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2019) Vienna, Austria |
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| Country | Austria |
| City | Vienna |
| Period | 4/09/19 → 6/09/19 |
| Internet address |
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Cite this
Aarnoudse, L., Pannier, C., Afkhami, Z., Oomen, T., & Barton, K. (2019). Multi-layer spatial iterative learning control for micro-additive manufacturing. In Joint Conference 8th IFAC Symposium on Mechatronic Systems and Proceedings of the 12th IFAC Symposium on Nonlinear Control Systems (pp. 372-377)