基于S7-1200PLC的注射机料筒温度控制系统  

Barrel Temperature Control System of Injection Molding Machine Based on S7-1200PLC

作　　者：胡亚南[1] 李明辉[2] 霍蛟飞[1] 丰会萍 Hu Yanan;Li Minghui;Huo Jiaofei;Feng Huiping(Xijing University,Xi'an 710000,China;Shaanxi University of Science and Technology,Xi'an 710000,China)

机构地区：[1]西京学院,陕西西安710000 [2]陕西科技大学,陕西西安710000

出　　处：《塑料科技》2019年第12期93-98,共6页Plastics Science and Technology

基　　金：陕西省重点研发计划资助项目(2018GY-042);西京学院科研基金项目(XJ170129)

摘　　要：针对注射机料筒温度控制系统具有非线性、时变及滞后性的特点,造成料筒温度控制超调大、调节时间长及稳定性差的问题,将模糊控制算法和径向基神经网络(RBFNN)的优点相结合,设计模糊RBFNN-PID控制算法,以提高料筒的控制精确性和稳定性。以西门子S7-1200PLC为控制核心,设计注射机料筒温度系统软硬件结构,并利用MATLAB软件对常规PID、模糊PID、模糊RBFNN-PID算法的控制器性能、抗干扰能力进行仿真对比分析。结果表明:该控制算法具有较好的动态稳定性,在一定程度上提升了注射机料筒温度控制的精确性和稳定性。Aiming at the characteristics of non-linearity,time-varying and lag of the barrel temperature control system of injection molding machine,which causes the problem of large overshoot,long adjustment time and poor stability of the barrel temperature control,a fuzzy RBFNN-PID control algorithm is designed by combining the advantages of the fuzzy control algorithm and the radial basis function neural network(RBFNN)to improve the control accuracy and stability of the barrel.Taking Siemens S7-1200 PLC as the control core,the software and hardware structure of the barrel temperature system of injection molding machine is designed.The performance and anti-interference ability of the conventional PID,fuzzy PID and fuzzy RBFNN-PID algorithms are simulated and compared by using MATLAB software.The results show that the control algorithm has good dynamic stability.The control system improves the accuracy and stability of the barrel temperature of injection molding machine to a certain extent.

关 键 词：料筒温度 S7-1200PLC 模糊PID 径向基神经网络 

分 类 号：TQ320.63[化学工程—合成树脂塑料工业]