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On the potential for Electromagnetic Energy Harvesting for a Linear Synchronous Motor based Transport System in Factory Automation

  • Michael Walsh
  • , Giovanni Abbruzzo
  • , Séamus Hickey
  • , Sonia Ramirez-Garcia
  • , Brendan O'Flynn
  • , Javier Torres

Research output: Chapter in Book/Report/Conference proceedingsConference proceedingpeer-review

Abstract

Transport systems incorporating linear synchronous motors (LSMs) enable linear motion at high speed for emerging factory automation applications. The goal of this work is to determine the feasibility of harvesting energy directly from an operational LSM transport system employed in high volume manufacturing. Microelectromechanical (MEMs) based sensor technology, deployed as part of a wireless cyber physical system (CPS), perform near real-time magnetic field measurement for a mobile LSM vehicle. The vehicle under study is purposed for mobile factory automation and is not wired for communications nor does it have an onboard power source. A series of experiments were designed and conducted to establish the magnetic profile of the system. Empirical data capture was conducted on a cycled LSM test-bed comprising of 2 shuttles and 2 x 3 meter lengths of LSM track (MagneMotion QuickStick®100). Varying vehicle speeds were incorporated in the experimental regime to determine how changes in velocity would impact the magnetic profile of the vehicle. The recorded magnetic field data was analysed and a relationship between LSM vehicle speed and magnetic field frequency was established. The study highlights the potential to employ a single receiving coil to enable energy recovery which in turn could power a cyber-physical system (CPS) tasked with performing condition based monitoring of the LSM transport vehicles. This in turn can form the basis for the development of a predictive maintenance system, deployed to an LSM based transport layer in high volume manufacturing environments.

Original languageEnglish
Title of host publicationProceedings - 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages864-869
Number of pages6
ISBN (Electronic)9781728103037
DOIs
Publication statusPublished - Sep 2019
Event24th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2019 - Zaragoza, Spain
Duration: 10 Sep 201913 Sep 2019

Publication series

NameIEEE International Conference on Emerging Technologies and Factory Automation, ETFA
Volume2019-September
ISSN (Print)1946-0740
ISSN (Electronic)1946-0759

Conference

Conference24th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2019
Country/TerritorySpain
CityZaragoza
Period10/09/1913/09/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Cyber Physical Systems
  • Linear Synchronous Motors
  • Magnetic Field Analysis
  • Microelectromechanical Sensors
  • Predictive Maintenance

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