Setup And Experiment Of Fast Tool Servo Control System

In recent years,micro-optical elements with microstructures such as microgrooves,microprisms,microlenses,etc.have been widely used to enhance the performance of optical systems,and the market demand for optical elements with microstructured surfaces has been growing rapidly every year.The precise and efficient processing of this type of parts has become a problem worthy of study.Traditional methods cannot meet the processing requirements in multiple dimensions such as accuracy,efficiency,and cost.Therefore,in this paper,a fast knife servo control system is built and tested for the processing of large-area microlens arrays.First,the working principle and system composition of the force sensor integrated fast knife servo system is introduced.The force sensor integrated fast knife servo system is developed based on the conventional piezoelectric fast knife system.It is mainly composed of the host computer PC,acquisition card,actuator power supply,pressure It consists of electric ceramic actuator,displacement sensor,force sensor,amplifier and structure.Based on the clear working principle and system composition,mathematical modeling of the fast knife servo system is carried out,including the electrical model,electromechanical coupling model and dynamic model of the piezoelectric ceramic stack actuator.The establishment of the mathematical model is the subsequent algorithm The basis of analysis.On the basis of the above,the parameter tuning method research and simulation analysis of the control system are carried out.Firstly,the crowd search algorithm is simulated and analyzed in combination with the mathematical model.The optimization of the objective function by the algorithm does indeed achieve very good results.The results of multiple runs are the same However,the value of parameter optimization is not stable,so the simulation analysis of the pattern search algorithm is carried out,and finally the parameter tuning method is established as the pattern search algorithm.In terms of control algorithms,first of all,the PID control algorithm research and simulation analysis are carried out.Pure PID control cannot meet the requirements in terms of effect.Therefore,considering the feedforward control,the zero phase difference feedforward control algorithm research and simulation analysis are considered.The simulation achieves excellent results.In the past literature,the control algorithm research experiments of similar systems have shown that the feedforward can improve the control effect to a certain extent due to the gap between the model and the entity,but it still cannot meet the requirements in terms of tracking accuracy.Therefore,research and simulation analysis of the repetitive control algorithm are carried out.Using MATLAB GUI and acquisition card library functions to complete the control interface design and preliminary preparation of the control program.Finally,conduct a system identification experiment,and use the toolbox to analyze and study the results.Then design and test the frequency setting part of the control program,the completed program can meet the experimental requirements.The tracking test of sinusoidal signals is conducted under open-closed loop conditions respectively.PID closed-loop control reduces the tracking error relative to open-loop tracking.PID closed-loop control adds zero phase difference feedforward control to further reduce tracking error.