注塑机料筒温度的模糊神经网络控制研究  

THE CONTROL RESEARCH OF THE FUSSY NERVES NETWORK ON THE BARREL TEMPERATURE OF THE INJECTION MACHINE

作　　者：孙锡红[1] 苏兴[1] 

机构地区：[1]上海理工大学,上海200093

出　　处：《工程塑料应用》2009年第10期67-71,共5页Engineering Plastics Application

摘　　要：以精密注射成型中的料筒温度控制为研究对象,应用现代人工智能控制理论,将模糊控制和人工神经网络控制二者有机结合,创建了注塑机料筒温度模糊神经网络控制的基本结构及其算法模型;运用Matlab软件编写模糊神经网络代码,对3段料筒温度的模糊神经网络控制进行了仿真,获得了比较满意的控制效果。仿真表明,提出的新型控制策略,对于提高精密注塑机料筒的温度控制精度,具有重要的参考价值。Taking the barrel temperature controlling as the research object in the precision injection molding, appling the mo- dem artificial intelligence control theory, organically combining the fussy control with the artificial nerves network control, the basic structure and the arithmetic module of the temperature fussy nerves network controlling of the injection machine barrel was created. The code of the fussy nerves network was programmed by using the matlab software and the three stages temperatures controlling of the fussy nerves network controlling of the injection machine barrel was simulated. Satisfied controlling results was obtained. The simulation re- sults showed that the new controlling strategy was of the import reference value for enhancing the barrel temperature controlling precision of the precision injection molding.

关 键 词：模糊神经网络 注塑机料筒温度控制 MATLAB 仿真 

分 类 号：TQ320.52[化学工程—合成树脂塑料工业] TP242[自动化与计算机技术—检测技术与自动化装置]