基于RBF神经网络的汽车内饰皮革智能切割系统设计  

Design of Intelligent Cutting System for Automotive Interior Leather Based on RBF Neural Network

作　　者：贺丽娟[1] HE Lijuan(Shaanxi Institute of Technology,Xi'an 710300,China)

机构地区：[1]陕西国防工业职业技术学院,陕西西安710300

出　　处：《中国皮革》2024年第10期12-15,共4页China Leather

摘　　要：随着汽车用皮革的迅速发展,开发一套满足汽车内饰皮革生产需求的智能切割系统具有重要意义。本文简述了汽车内饰皮革切割系统的发展,构建了基于径向基函数(Radial Basis Function,RBF)神经网络的汽车内饰皮革智能切割系统,介绍了系统主要硬件配置选型和软件的设计,提出了基于RBF神经网络PID(Proportional Integral Derivative,比例-积分-微分)控制算法;通过搭建试验平台,测试汽车内饰皮革智能切割系统的可行性、切割精度与效率。结果表明,该系统能够较好地满足汽车内饰皮革切割方面的需求。With the rapid development of automotive leather,it is of great significance to develop a set of intelli-gent cutting system to meet the demands of automotive interior leather production This paper briefly described the de-velopment of automotive interior leather cutting system,build an intelligent cutting system for automotive interior leather based on RBF(Radial Basis Function)neural network,introduced the main hardware configuration and soft-ware design of the system,and proposed a neural network PID(proportional integral-differential)control algorithm based on RBF The feasibility,cutting precision and efficiency of intelligent cutting system for automotive interior leather were tested by setting up a testing platform The results show that the system can meet the requirements of au-tomotive interior leather cutting.

关 键 词：RBF神经网络 PID控制 汽车内饰 皮革 切割系统 

分 类 号：TS56[轻工技术与工程—皮革化学与工程]