基于BP神经网络的双面软材料智能贴标机自动控制系统设计  

Design of Automatic Control System of Double-sided Soft Material Intelligent Labeling Machine Based on BP Neural Network

作　　者：钟明灯[1] 童慧芬[1] 李岩 ZHONG Ming-deng(Minnan University of Science and Technology,Quanzhou Fujian 362000,China)

机构地区：[1]闽南理工学院,福建泉州362000

出　　处：《长春工程学院学报（自然科学版）》2022年第1期59-62,共4页Journal of Changchun Institute of Technology：Natural Sciences Edition

基　　金：泉州市科技计划项目(2020C068)。

摘　　要：为提高双面软材料智能贴标机控制速度的能力,设计了基于BP神经网络的双面软材料智能贴标机自动控制系统。硬件设计选用PLC控制器和伺服驱动器;软件设计配置贴标机虚拟运动轴,设计了基于BP神经网络的PLC控制程序。通过与未应用BP神经网络算法的控制系统对比发现,设计的控制系统无论是控制速度还是控制精度均较为优越,为提升贴标机的运行效率提供了帮助。In order to improve the control speed of double-sided soft material intelligent labeling machine,the automatic control system of double-sided soft material intelligent labeling machine based on BP neural network is designed.Hardware design and selection of PLC controller and servo driver,Software design,virtual motion axis of labeling machine is configured,and PLC control program based on BP neural network is designed.Compared with the control system without BP neural network algorithm,it is found that the designed control system is superior in both control speed and control accuracy,which helps to improve the operation efficiency of labeling machine.

关 键 词：BP神经网络 软材料 贴标机 自动控制 

分 类 号：TB486.02[一般工业技术—包装工程]