基于内模控制的喷射成形漏包液位时滞控制策略OACSTPCD

To solve the time-delay problem of liquid level system in spray forming,the control strategy of liquid level system is studied,and an internal model control method based on neural network identification model is proposed.According to the characteristics of saturation module in leaky ladle liquid level system,an auxiliary controller is added and the internal model control structure is improved.In order to obtain the forward and inverse models of the system,RBF neural network identification algorithm based on particle swarm optimization is proposed.The control strategy is applied to the spray forming production line.The results show that the influence of time delay on the stability of liquid level greatly decreases,the liquid level overshoot is reduced to less than 6 mm,and the fluctuation during double package switching goes down below 15 mm.