Research On High Dynamic Hot Pressing Welding Power Supply And Its Temperature Intelligent Control Metho

Hot press welding technology is widely used in the soldering of electronic equipment parts.Under the background of miniaturization of electronic devices,in order to obtain better welding joint performance and higher production efficiency,it is required that the heating rate of hot pressing welding process is faster and the peak temperature is controllable.Short time fast and smooth temperature rise control is a difficult problem for thermocouple temperature feedback control with large thermal lag.It is necessary to design a fast heating power supply and a new temperature control method.Aiming at realizing the rapid and intelligent temperature control in the welding process,this paper focuses on the high-performance power supply equipment,thermocouple temperature feedback control model and intelligent control algorithm.Firstly,a hot press welding power supply based on inverter converter technology is designed,which can realize 2 k Hz pulse current heating,and has the functions of four-stage temperature control and controllable heating time.An experimental platform integrating power supply design and test is built to lay the foundation for subsequent research.Then,through the analysis of the temperature characteristics of the welding process,the thermocouple dynamic compensator is designed by using the swarm intelligence optimization algorithm,which can effectively reduce the time constant of the thermocouple and improve the dynamic response characteristics of the thermocouple.The system identification technology based on intelligent optimization algorithm reduces the complexity of system modeling and identification,and can realize the accurate identification of model parameters.The temperature control system model is constructed,and the temperature intelligent control method of high dynamic response hot pressing welding process is studied.By optimizing the fitness function of the optimization algorithm,the better PID control parameters are obtained to realize the regulation of peak temperature.By optimizing the algorithm to obtain the quantization factor and scale factor,the design cost of fuzzy PID control algorithm can be reduced,and the high dynamic response of hot press welding temperature control system can be realized.Finally,by comparing the actual temperature control effects under different temperature control algorithms and carrying out process experiments,it is found that the intelligent control method in this paper can effectively control the peak temperature,the heating rate is fast and stable,and can realize the reliable connection of micron parts,with good overall control effect.