基于CADE算法的压铸机实时控制压射系统的研究

Nonlinear Predictive Control for Real-time Control Injection System of Die-casting Machine Based on CADE Algorithm

提出了一种基于混沌自适应差分进化算法(CADE)的压铸机多变量压射过程非线性预测控制。其将帐篷映射嵌入到自适应差分进化算法(DE)中,改进了DE算法中交叉因子及编译因子的产生过程。通过仿真试验,结果表明,利用该智能算法对压射控制PID控制器进行参数优化,能实现压铸机压射速度的快速寻优,使其非线性预测控制动态特性更好,控制精度更高,从而达到系统的最优控制目的。

A nonlinear predictive control algorithm was proposed for multivariable die-casting processes of die-casting machine based on chaos adaptive differential evolution model. In the adaptive differential evolution model, the tent map was embedded to improve the process of production of crossed factors and compile factor in the DE model. The simulation results show that the injection control PID controller with the intelligence algorithm can optimize the die-casting machine injection velocity and make the nonlinear predictive control possess good dynamic characteristics and high control precision to achieve the system optimal control objective in the end.