基于灰色预测理论的转子系统振动主动控制

THE GRAY FORECASTING CONTROL FOR VIBRATION OF ROTOR SYSTEM

以灰色预测控制理论为基础,采用现代控制理论中的二次型优化原理,以控制力和响应加权最小为目标函数,设计了两种基于灰色预测理论的转子系统振动主动控制方案——灰色 GM(1,1)预测优化控制方案和灰色 Verhuslt 预测优化控制方案.并将该两种方案分别应用于带电磁阻尼器转子轴承系统的转子振动主动控制中,通过数值仿真验证了两种控制方法的有效性,并对两种方法的控振效果进行了比较.

This paper proposed two control methods for the vibration of rotor system——gray GM(1,1) forecasting-optimal control method and gray Verhuslt forecasting-optimal control method.Based on the gray forecasting theory,using the optimization control method of the modern control theories,and modeling by gray GM(1,1)and gray Verhuslt model,a gray forecasting-optimal control scheme was designed for a symmetric rotor bearing system,which has a single round plate.The simulation result shows that the two methods are efficient for the vibration control of rotor system.