The Optimal Design Of Servo Motion Control System Of LED Dispensing Machine

As a numerical control device for mechanized production,dispensers are widely used in industrial electrical,semiconductor electronic packaging and other fields.Since the domestic research on the dispenser control system started relatively late,and there is a certain gap between the performance and motion control technology and foreign countries,the domestic high-end dispenser products mainly rely on foreign imports.In order to improve the cost-effectiveness of the dispenser,this article will Optimize the design of the servo system of the dispenser in motion control and dispensing path planning.In this paper,the permanent magnet synchronous servo motor of the dispenser is the research object.The sliding mode control is used to enhance the anti-interference ability of the motor,and the chattering generated by the sliding mode control is compensated to ensure its accuracy;secondly,the nonlinear programming genetic algorithm is used The trajectory planning of the target position of the dispenser is carried out to make the path taken in the dispensing process the shortest,and the dispensing efficiency and accuracy of the dispenser are improved through the above optimization.First,establish a mathematical model based on the relevant parameters of the permanent magnet synchronous motor,and use SVPWM control technology as the driving method of the motor.When using sliding mode control,design the sliding mode surface function and the controller function.The controller function adopts the exponential approach rate.Method;use sliding mode control to design the speed controller and torque controller respectively,compare with the traditional PID control method through simulation,the simulation results show that the performance of sliding mode control is better;secondly,in order to suppress the effects of sliding mode control For chattering and unknown disturbances during motor operation,an observer is added to the sliding mode control system to equate the difference between the actual output and the ideal model output caused by parameter changes during motor operation and disturbances such as chattering.Control the input terminal to suppress the interference;when the number of dispensing is too much,the path is generally planned in stages,which will lead to the dispensing path is not the optimal solution,this paper uses a nonlinear programming genetic algorithm to the dispensing path Make a plan to find the optimal solution of the dispensing path.Finally,under the condition that the cost of equipment before and after optimization is not much different,using TMS320F28335 DSP as the core control chip to design the main circuit,sampling circuit and other hardware circuits to build the dispenser experimental platform;use C language to program through CCS programming software,And use the serial communication software to obtain the position.Through calculation,the X-axis repeat positioning accuracy of the target position is 0.013 mm,and the Y-axis repeat positioning accuracy is 0.015 mm,which meets the positioning accuracy requirements of the dispenser equipment and the original positioning accuracy is 0.016.mm stepping system dispenser has been improved;then the path planning for these target points,the experimental results show that the algorithm has fewer iterations and faster convergence speed in the problem optimization process,which can meet the accuracy of dispenser equipment and real-time.