DOI：10.3969/j.issn.1672-3872.2025.18.029
基金项目：2023年江苏省高等教育教改研究课题（2023JSJG585）
作 者：朱红娟 ，顾晟吉（南京机电职业技术学院，江苏 南京 211306）
摘 要：选择合适的数字孪生平台可以更好地运行和预测系统行为，提高生产效率并降低成本。为了加快数字孪生项目搭建速度，降低初期投入成本，文章提出了一种面向数字孪生平台的伺服运动控制系统。基于SolidWorks三维设计软件和VC平台搭建伺服控制虚拟仿真系统，在仿真过程中使用Python API脚本行为进行伺服运动控制系统开发，利用OPC UA通信接口实现虚拟样机与真实样机之间的数据交互，将虚拟现实技术应用于工业生产中，实时监控系统的运行状态。最终实现了以数字虚拟模型控制实体样机的运行状态，从而实现了对伺服运动控制系统数据的实时可视化呈现以及相应的异常数据预警功能，有助于减少后续对模型的修改。
关键词：Visual Components；Python API脚本开发；伺服运动
The Development of Servo Motion Control System Based on Visual Components Digital Twin Platform
Author: Zhu Hongjuan, Gu Shengji (Nanjing Vocational Institute of Mechatronic Technology, Nanjing 211306, China)
Abstract: Choosing the appropriate digital twin platform can better operate and predict system behavior, improve production efficiency, and reduce costs. In order to accelerate the construction speed of digital twin projects and reduce initial investment costs, this article proposes a servo motion control system for digital twin platforms. Based on SolidWorks 3D design software and VC platform, a servo control virtual simulation system is built. During the simulation process, Python API script behavior is used to develop the servo motion control system. OPC UA communication interface is used to achieve data exchange between virtual and real prototypes. Virtual reality technology is applied to industrial production to monitor the real-time operation status of the system. Finally, the operation status of the physical prototype was controlled by a digital virtual model, enabling real-time visualization of servo motion control system data and corresponding abnormal data warning functions, which helps reduce subsequent modifications to the model.
Keywords: Visual Components; Python API script development; servo motion
引文信息：[1]朱红娟，顾晟吉.基于Visual Components数字孪生平台的伺服运动控制系统开发[J].南方农机，2025，56(18)：113-117.
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