Developing MATLAB Data Acquisition and Control Functions for the LABVOLT Electromechanical Training System

Keven Rall, Hussein Abdeltawab, Mesude Bayrakci-Boz, Sohail Anwar

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

1 Scopus citations

Abstract

The LabVolt Electro-Mechanical System (EMS) is a comprehensive educational training system developed by Festo-Didactic and is adopted by various higher education institutions. The LVDAC-EMS is the software developed by the manufacturer for data acquisition and preliminary control functions; However, customized monitoring functions or tailored control tasks are not supported by the LVDAC-EMS. On the other hand, MATLAB contains various functions and toolboxes for data analysis and control; thus, it would be an ideal software to interface with the EMS to expand its data analysis capabilities. While Festo-Didactic provides a software development kit (SDK) to interface MATLAB with the EMS, the SDK functions are complicated and not user-friendly. The development of a LabVolt MATLAB Interface would simplify the SDK to allow for the easy integration of MATLAB with the EMS so that researchers can use MATLAB to analyze data collected from the EMS. The developed interface contains various functions to acquire data, plot data, and control the outputs and power supply of the EMS. Future work will be creating additional functions and sharing a toolbox for the MATLAB- LabVolt EMS interface.

Original languageEnglish (US)
Title of host publication2022 IEEE Integrated STEM Education Conference, ISEC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages150-153
Number of pages4
ISBN (Electronic)9781665484299
DOIs
StatePublished - 2022
Event12th IEEE Integrated STEM Education Conference, ISEC 2022 - Virtual, Online, United States
Duration: Mar 26 2022 → …

Publication series

Name2022 IEEE Integrated STEM Education Conference, ISEC 2022

Conference

Conference12th IEEE Integrated STEM Education Conference, ISEC 2022
Country/TerritoryUnited States
CityVirtual, Online
Period3/26/22 → …

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Artificial Intelligence
  • Computer Science Applications
  • Engineering (miscellaneous)
  • Media Technology
  • Mathematics (miscellaneous)
  • Medicine (miscellaneous)
  • Education

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