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OA

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.