Input Shaping for Control of a High-Resolution Electrohydrodynamic Jet Printing Process

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Electrohydrodynamic jet (e-jet) printing is a high-resolution, additive manufacturing process capable of printing micro/nanometer scale patterns for applications in electrical and optical sensors. Despite stringent design requirements to achieve functional printed sensors, most e-jet printers operate in an open-loop paradigm, shaping the input signal as a standard square voltage with constant low baseline and high peak voltages, and a set pulse duration to induce droplet ejections. These constant input values limit the volume and droplet spacing to set magnitudes, while unmodelled dynamics within the process may result in inaccurately printed patterns. In order to achieve more complex deposition patterns while mitigating the effects of unmodeled jetting dynamics, this paper presents an input shaping framework that allows for the design of variable jetting frequencies and volumes and compensates for unmodeled dynamics through data-driven updates observed across repetitive droplet ejections. Simulation results demonstrate the efficacy of the proposed approach.

Original languageEnglish (US)
Title of host publication2023 IEEE Conference on Control Technology and Applications, CCTA 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages156-161
Number of pages6
ISBN (Electronic)9798350335446
DOIs
StatePublished - 2023
Externally publishedYes
Event2023 IEEE Conference on Control Technology and Applications, CCTA 2023 - Bridgetown, Barbados
Duration: Aug 16 2023Aug 18 2023

Publication series

Name2023 IEEE Conference on Control Technology and Applications, CCTA 2023

Conference

Conference2023 IEEE Conference on Control Technology and Applications, CCTA 2023
Country/TerritoryBarbados
CityBridgetown
Period8/16/238/18/23

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Control and Optimization

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