- ISSN 0258-2724
- CN 51-1277/U
- EI Compendex
- Scopus
- Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
- Chinese S&T Journal Citation Reports
- Chinese Science Citation Database
| Citation: | XU Fengqiu, LIANG Xinming, HE Jiawen, QIU Yi, XU Xianze. Virtual Measurement Methods for Magnetic Levitation Planar Motors Based on Digital Twin Technology[J]. Journal of Southwest Jiaotong University. doi: 10.3969/j.issn.0258-2724.20250625
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To enable real-time monitoring, intelligent evaluation, and assisted control of the state of a magnetic levitation planar motor, a digital twin system for a magnetic levitation planar motor was constructed. The communication scheme based on EtherNet/IP was adopted between the magnetic levitation planar motor and its twin model; the real-time key state data of the magnetic levitation planar motor, such as mover position and control outputs, was acquired by means of a virtual system of communication module; the relevant information was sent to the real-time control system. The magnetic levitation planar motor employed an NI PXIe-8880 as the core control platform, performing high-real-time tasks including position-sensor signal acquisition, position computation, and execution of control algorithms. The digital twin system implemented a graphical user interface by using PySide6 and employed the OpenGL graphics library for three-dimensional visualization of the virtual model, enabling a physical mapping of the virtual system to the motor. Ultimately, by using C ++ computational libraries, the virtual system performed rapid virtual measurement of the motor’s magnetic field intensity, current magnitude, coil force, and motion states based on measurable real-time key parameters of the motor, thereby supporting real-time visualization monitoring, intelligent evaluation, control tracking, and other requirements for the motor. Research results show that the twin model’s virtual measurements of magnetic fields, currents, coil forces, and coil temperature, together with its motion state simulation, closely match those of the physical motor. The proposed digital twin system offers an accurate mapping of the magnetic levitation planar motor, and its measurement approach provides a feasible pathway for intelligent control and expanded applications of the motor.
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