Research And Design Of Laser Welding Control System For Reversing Camera

With the development of intelligent manufacturing in China,laser welding technology has entered the field of plastic welding from the initial metal field welding.Plastic laser welding has begun to be applied to the welding of the reversing camera housing parts made of polypropylene(PP)packaging materials.At this stage,domestic plastic welding technology is under development,and the requirements for welding accuracy of the plastic housing of the reversing camera have also been improved.For the control of the laser welding system of the reversing camera,the analysis is mainly carried out from the penetration control and pressure control that affect the welding quality.The penetration part is mainly based on laser welding control as the main research object for analysis.Due to the nonlinearity and time lag of laser welding,the fuzzy algorithm is designed to combine with the RBF neural network algorithm,and the RBF neural network algorithm is trained to output the final PID optimization parameters to advance to the target penetration depth.Simulation experiments show that compared with traditional PID and fuzzy PID algorithms,the fuzzy RBF-PID algorithm shows strong anti-interference,fast adjustment time,small overshoot,and can achieve penetration control within the allowable error range Claim.The pressure part is mainly to control the servo electric cylinder and the screw rod to exert pressure on the reversing camera housing as the research object and carry out the pressure control analysis.Aiming at the problems of large inertia and hysteresis in the pressure part,an improved bat prediction algorithm is proposed to solve the pressure control accuracy.By introducing the improved bat algorithm combined with the MAC prediction algorithm to optimize the PID parameters,the optimal pressure control effect can be obtained.Combined with the experimental simulation results,it is shown that compared with the bat algorithm and the traditional PID algorithm,the improved bat predictive PID algorithm has better dynamic performance in pressure control,and the control pressure accuracy is higher.At the same time,the disturbance test experiment is also added.The algorithm shows Strong robustness.Both the penetration part and the pressure part have better control effects,which can improve the welding accuracy of the reversing camera housing.Regarding the composition of the reversing camera laser welding system,it mainly includes the sensor acquisition part,the galvanometer control part,the servo electric cylinder control part,and the data monitoring interface design part.Use the SIMATIC S7-1200 controller to process and analyze the collected data,and complete the control of the actuator part.Through the use of Portal V15.1 version software to design the PLC program,the improved control strategy is applied to the penetration and pressure control to achieve stable automatic adjustment control.And combined with Siemens touch screen KPT700 basic and used Wincc7.2 software to design a data monitoring interface to realize real-time monitoring of production data during the plastic welding production process.The laser welding control system designed for the reversing camera has been tested and analyzed,and the actual welding penetration control has reached the quality requirements of the product,which has improved the automation and production efficiency of the plastic welding equipment.