Real-Time Nonlinear Tracking Control of Photopolymerization for Additive Manufacturing

Koen Classens, Thomas Hafkamp, Steyn Westbeek, Joris J.C. Remmers, Siep Weiland

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

In the context of additive manufacturing (AM) and 3D Printing, vat photopolymerization is an established technique in which photopolymer is selectively solidified to form a near-net-shape part. Photopolymerization-based AM is increasingly being adopted by the high-tech industry, but the technology still faces several challenges in terms of consistency in product quality, understanding of the UV curing process, in-situ process monitoring, and real-time closed-loop control. This paper aims to demonstrate the potential of model-based control of the UV curing process. The curing process is modelled and anticipatively controlled with an optimal control law for nonlinear systems, derived via a sequential linearization strategy. The potential of this approach is proven by means of both simulations that illustrate a one-dimensional spatial optimal tracking problem and experiments that validate a zero-dimensional controlled system.

Originele taal-2Engels
Titel2021 American Control Conference (ACC)
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's1365-1370
Aantal pagina's6
ISBN van elektronische versie9781665441971
DOI's
StatusGepubliceerd - 28 jul. 2021
Evenement2021 American Control Conference (ACC) - Virtual, Virtual, New Orleans, Verenigde Staten van Amerika
Duur: 25 mei 202128 mei 2021
http://acc2021.a2c2.org/

Congres

Congres2021 American Control Conference (ACC)
Verkorte titelACC 2021
Land/RegioVerenigde Staten van Amerika
StadVirtual, New Orleans
Periode25/05/2128/05/21
Internet adres

Bibliografische nota

Publisher Copyright:
© 2021 American Automatic Control Council.

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