中国造纸学报2024，Vol.39Issue(1)：107-113,7.DOI:10.11981/j.issn.1000-6842.2024.01.107
基于RBF神经网络滑模控制的卷纸纠偏系统
Research on Paper Roll Deviation Control System Based on RBF Neural Network Sliding Module Control
摘要
Abstract
The servo correction control system was designed with RBF neural network through the establishment of its dynamic model.Using MATLAB/Simulink simulation software to simulate,and combining with experimental verification,the dynamic performance of the system was analyzed to obtain the response curve.The results showed that the deviation was reduced from 1.5 mm to 0.55 mm at the paper pulling speed of 65 mm/s,and the displacement and speed tracking error were small.关键词
卷纸/纠偏控制/RBF神经网络/滑模控制/MATLAB/Simulink/动态性能Key words
paper roll/deviation control/RBF neural network/sliding module control/MATLAB/Simulink/dynamic performance分类
轻工纺织引用本文复制引用
张继红..基于RBF神经网络滑模控制的卷纸纠偏系统[J].中国造纸学报,2024,39(1):107-113,7.基金项目
四川省教育厅自然科学科研项目(21ZA0347). （21ZA0347）
