科技创新与应用2026，Vol.16Issue(18)：72-75,4.DOI:10.19981/j.CN23-1581/G3.2026.18.016
数字孪生驱动的电气工程自动化控制系统稳定性优化研究
摘要
Abstract
To address the issues of insufficient stability and delayed disturbance response in traditional electrical engineering automation control systems under complex operating conditions(such as sudden load changes and grid disturbances),a control system optimization solution driven by digital twin(DT)is proposed.By establishing a closed-loop architecture of"physical entity-twin model-data interaction-decision control",real-time mapping of the system's operational status,multi-physics field coupling simulation,and predictive control are achieved.Taking an industrial high-voltage motor control system as the experimental object,the differences in overshoot,adjustment time,and steady-state error between traditional PID control and DT-driven control are compared.The experimental results show that this solution can reduce the overshoot by 60%and shorten the adjustment time by 67.6%under sudden load change conditions,significantly enhancing the robustness and stability of the control system.关键词
电气工程自动化/数字孪生/控制系统稳定性/多物理场建模/预测性控制Key words
electrical engineering automation/digital twin/control system stability/multi-physics modeling/predictive control分类
信息技术与安全科学引用本文复制引用
姚远,潘恩思..数字孪生驱动的电气工程自动化控制系统稳定性优化研究[J].科技创新与应用,2026,16(18):72-75,4.
