IEEE Access (Jan 2022)

Interface Development for Digital Twin of an Electric Motor Based on Empirical Performance Model

  • Anton Rassolkin,
  • Viktor Rjabtsikov,
  • Vladimir Kuts,
  • Toomas Vaimann,
  • Ants Kallaste,
  • Bilal Asad,
  • Andriy Partyshev

DOI
https://doi.org/10.1109/ACCESS.2022.3148708
Journal volume & issue
Vol. 10
pp. 15635 – 15643

Abstract

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The concept of Digital Twin is creating and maintaining a digital representation of the real physical entity and supporting its performance utilizing simulation and optimization tools, which are fed with the real data obtained from the physical equipment. Development and implementation of the Digital Twin technology are one of the main challenges for today’s industry, more detailed studies are needed on design methods for Digital Twins. Besides using Digital Twin as a high-quality simulation, one of the commitments is monitoring and maintaining control of the whole system via a constant live link between virtual and physical entities. The related research study presents a detailed structural description of the developed Digital Twin virtual entity and the development of a framework that allows Robot Operating System (ROS) to securely communicate with remote Digital Twins via the Internet and harness ROS’s adaptability across vast distances and multiple systems. This paper is an extended version of the authors’ International Conference on Electrical Power Drive Systems (ICEPDS20) paper, in which we propose a development case study of Digital Twin for an electric motor based on an empirical performance model.

Keywords