压铸机多变量压射过程非线性预测控制  

The Nonlinear Predictive Control of Die Casting Machine for Multivariable Injection Process

作　　者：陈伟华[1,2] 彭继慎[2] 赵忠建 

机构地区：[1]辽宁工程技术大学电气与控制工程学院,辽宁阜新123000 [2]辽宁工程技术大学机械工程学院,辽宁阜新123000 [3]中国石油渤海装备辽河重工公司,辽宁盘锦124010

出　　处：《铸造》2013年第6期529-533,共5页Foundry

基　　金：辽宁省教育厅创新团队项目(LT2010047);辽宁省高校优秀人才支持计划项目(2008RC25)

摘　　要：在压铸机压射过程的电液压伺服控制系统中,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方法。该方法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。通过仿真实验结果表明,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。In the electric hydraulic servo control system during injection process of die casting machine, this paper presents a nonlinear-predictive-control method of die casting machine for multivariable injection process based on adaptive differential chaotic evolutional algorithm. The tent map is embedded into the adaptive differential evolution algorithm （DE）, which has improved the generating process of DE algorithm for the crossover factor and compiling factor. The results of simulation experiment show that by using the intelligent algorithm to optimize injection parameters of die-casting PID controller, we can achieve fast optimization of die-casting machine injection speed and make the dynamic characteristics of nonlinear predictive control better, and the control precision more higher, so as to achieve the optimal-control purpose for the system.

关 键 词：压铸机 帐篷映射 压射过程 非线性预测控制 

分 类 号：TG233.1[金属学及工艺—铸造]