Adaptive learning control of milling operations

被引：9
|
作者：
Tarng, YS
Hwang, ST
机构：
[1] Department of Mechanical Engineering, National Taiwan Institute of Technology, Taipei
来源：
MECHATRONICS | 1995年 / 5卷 / 08期
关键词：
D O I：
10.1016/0957-4158(95)00056-B
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An adaptive learning control of milling operations in order to improve productivity is presented. Basically, the proposed control system consists of two parts. A feedforward neural network is first developed to acquire the inverse-dynamics model of the controlled plant. Then, a fuzzy feedback mechanism is designed to perform an adaptive modification of connection weights for the feedforward neural network. Based on this control system, an on-line adjustment of feedrate to achieve a constant milling force under a variety of cutting conditions is shown.
引用
收藏
页码：937 / 948
页数：12
相关论文
共 50 条
12345