Digital twin experimental platform for the parameter design of a servo system of computer numerical control machine tools
[Objective]With continuous improvement in the degree of automation in the manufacturing industry,the performance optimization of CNC(Computer Numerical Control)machine tools has become the key to improving production efficiency and reducing costs.As the core component of the CNC machine tool,the performance of the servo system is directly related to machine tool accuracy and stability.If a servo system parameter design experiment is performed on an actual machine tool,problems such as high experiment costs,many consumables,and high safety risks emerge.Therefore,an efficient experimental platform must be developed for the parameter design of servo systems to solve these problems and improve the overall performance of CNC machine tools.[Methods]The digital twin experimental platform adopted in this study is based on MCD+PLCSIM Advanced+TIA architecture.First,the NX MCD is used for solid modeling of the machine model,which can accurately simulate the structure and movement of the machine tool.Second,the PLC simulation software PLCSIM Advanced provided by Siemens is used to perform logic simulation on the actual operation of the programmable logic controller(PLC)and test the correctness of the PLC program.Third,the automation software platform TIA Portal is used for integrated programming and debugging,and a unified human-computer interface is provided,making programming and debugging more convenient.Finally,KEPServerEX 6 realizes OPC UA to establish a communication connection between the digital twin model of the CNC machine tool servo system experiment platform and its experimental platform entity and realizes communication and integration between different devices.A digital twin experimental environment that simulates real machine tool operation is realized,and the parameter optimization design experiment of a single-axis servo system is used as an example to debug and optimize the speed loop parameters.[Results]Using the digital twin experiment platform,we realize the fast debugging and optimization of the current loop and speed loop parameters of the servo system.The experimental results show that the platform greatly reduces the experimental cost and considerably improves the parameter design accuracy and efficiency.More importantly,the optimized parameters have been verified on the actual machine tool model,indicating that the digital twin experiment platform accurately simulates the dynamic behavior of the actual machine tool,and the designed parameters substantially improve the servo system performance.In addition,the flexibility and reusability of the platform provide great convenience and new possibilities for future servo system design and verification.[Conclusions]The digital twin experimental platform based on MCD+PLCSIM Advanced+TIA architecture shows great potential in servo system parameter design.It provides a new experimental method that successfully solves the problems of high experimental cost,many consumables,and high safety risks in traditional experimental methods.Through a clever application of digital twin technology,the experimental platform not only realizes seamless docking between the experiment and the actual production but also greatly improves the accuracy and reliability of the experiment and provides a new idea for the simulation research and application of the machine tool servo system at the virtual level.
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