@inproceedings{5ebdc027ecf24221b56178ad935d9af8,
title = "A Multi-domain Digital Twin Modeling Method for Complex Electromechanical Products",
abstract = "Intelligent manufacturing with core cyber-physical integration is steering the trajectory of future manufacturing evolution. Digital twin (DT) stands as a pivotal technology for realizing Cyber-Physical Systems (CPS). DT technology provide a way to support the analysis of complex electromechanical products applications with considering multi-domain features. Especially for the modern electromechanical products, which often require a high-fidelity model to achieve comprehensive analysis and optimization of the system's overall performance. Therefore, this paper proposes a multi-domain DT model construction approach for complex electromechanical products. Firstly, a digital twin modeling approach based on the Modelica language is proposed and the specific process is explained. Then, a digital twin framework for complex electromechanical products is proposed. Finally, a permanent magnetic synchronous machine model is used as an example to verify the feasibility of this method.",
keywords = "Modelica, digital twin, electromechanical products, multi-domain",
author = "Zixi Wang and Yaoguang Hu and Xiaonan Yang and Zhongjie Shi and Zixuan Zhang and Xinlong Li",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 6th International Symposium on Robotics and Intelligent Manufacturing Technology, ISRIMT 2024 ; Conference date: 20-09-2024 Through 22-09-2024",
year = "2024",
doi = "10.1109/ISRIMT63979.2024.10875085",
language = "English",
series = "2024 6th International Symposium on Robotics and Intelligent Manufacturing Technology, ISRIMT 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "391--396",
booktitle = "2024 6th International Symposium on Robotics and Intelligent Manufacturing Technology, ISRIMT 2024",
address = "United States",
}