Feed cutting force estimation from the current measurement with hybrid learning

被引：39
|
作者：
Li, X
Venuvinod, PK
Chen, MK
机构：
[1] City Univ Hong Kong, Dept Mfg Engn, Kowloon, Hong Kong, Peoples R China
[2] Harbin Inst Technol, Dept Precis Engn, Harbin 150006, Peoples R China
来源：
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY | 2000年 / 16卷 / 12期
关键词：
feed cutting force; motor current; neuro-fuzzy;
D O I：
10.1007/s001700070002
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
It is very important to use reliable and inexpensive sensors to obtain useful information about manufacturing processing, such as cutting force, for monitoring automated machining. In this paper, the feed cutting force is measured using an inexpensive current sensor installed on the a.c. servo motor of a CNC turning centre. The factors that affect of feed drive system are analysed in detail, and a model of the feed drive system for estimating feed cutting force is presented. The feed cutting force is estimated using feed motor current measurement and neuro-fuzzy techniques. Experimental results demonstrate that this method can accurately estimate feed cutting force within an error of 5%.
引用
收藏
页码：859 / 862
页数：4
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