Parameter Identification of Rolling Mill Vertical Vibration System Based on Improved Augmented Least Squares
The digital twin is the digital representation of the physical entity.It monitors and controls the physical entity in real time through the mathematical model,so the accuracy of the mathematical model is very high.Aiming at the problem of low accu-racy of the rolling mill vertical vibration system model,an improved augmented least square method is proposed to identify the rolling mill vertical vibration system.The mathematical model of the vertical vibration system is established,and the dynamic equation is derived through the discretization of the system,and the structure of the identification model is determined.Based on the data collected on site,the improved least square method is used to identify the model parameters.The experimental results show that the root mean square error of the measured amplitude and the output amplitude of the mechanism model is 0.82,while the root mean square error of the output amplitude of the identification model is only 0.62,which effectively improves the accu-racy of the model.
Vertical Vibration System of Rolling MillParameter IdentificationImproved Augmented Least SquaresDigital TwinField DataIdentification Model
万方数据
维普
