| Due to the rapid development of information technology and communication technology,the manufacturing industry is undergoing a process from traditional manufacturing to intelligent manufacturing.The application research of digital twin technology is of great significance to the development of intelligent manufacturing.Based on the analysis of the actual operation process of the main drive system of the rolling mill,which mainly includes three aspects: the experimental platform of the main drive system of the rolling mill,the virtual simulation system of the main drive system of the rolling mill and the parameter identification.According to the design requirements of the system,it mainly includes five aspects:3D virtual model,human-computer interaction interface,action behavior model,database and OPC communication environment.Firstly,Solid Works software is used for 3D modeling.Secondly,the human-computer interface and action behavior model are built in gensis64.Finally,the OPC communication protocol and database are constructed.The simulation results show that the speed of the motor changes with the input data.It is difficult to measure the quasi stiffness coefficient and nonlinear damping in the mathematical model of the main drive system of the rolling mill in practice.The simulation results show that,the identification error rate of alignment stiffness coefficient is reduced from 0.15% to 0.0425%,and the identification error rate of nonlinear damping is reduced from 4.36% to 2.4%.The convergence algebra is reduced from 29 generations to 22 generations,which can stable convergence speed of the main drive system.Through the mill main drive experimental system,the collected data are uploaded to the upper computer,and the system is integrated and debugged.According to the error between the mathematical model data and the actual data,the parameters of the system are identified,and an effective digital twin system of the main drive of the rolling mill is constructed.Figure 41;Table 9;Reference 46... |