Distributed model predictive control for Ink-Jet 3D printing

Yijie Guo, Joost Peters, Tom Oomen, Sandipan Mishra

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

7 Citations (Scopus)

Abstract

This paper develops a closed-loop approach for ink-jet 3D printing. The control design is based on a distributed model predictive control scheme, which can handle constraints (such as droplet volume) as well as the large-scale nature of the problem. The high resolution of ink-jet 3D printing make centralized methods extremely time-consuming, thus a distributed implementation of the controller is developed. First a graph-based height evolution model that can capture the liquid flow dynamics is proposed. Then, a scalable closedloop control algorithm is designed based on the model using Distributed MPC, that reduces computation time significantly. The performance and efficiency of the algorithm are shown to outperform open-loop printing and closed-loop printing with existing Centralized MPC methods through simulation results.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2017
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages436-441
Number of pages6
ISBN (Electronic)9781509059980
DOIs
Publication statusPublished - 21 Aug 2017
Event2017 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2017 - Munich, Germany
Duration: 3 Jul 20177 Jul 2017

Conference

Conference2017 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2017
CountryGermany
CityMunich
Period3/07/177/07/17

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  • Cite this

    Guo, Y., Peters, J., Oomen, T., & Mishra, S. (2017). Distributed model predictive control for Ink-Jet 3D printing. In 2017 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2017 (pp. 436-441). [8014056] Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/AIM.2017.8014056