A delta approach adaptive observer for on-line tool wear estimation in turning

被引：0
|
作者：
Carrillo, FJ [1 ]
Zadshakoyan, M [1 ]
机构：
[1] Ecole Natl Ingenieurs Tarbes, Lab Genie Prod, F-65016 Tarbes, France
来源：
ALGORITHMS AND ARCHITECTURES FOR REAL-TIME CONTROL 1997 | 1997年
关键词：
adaptive observer; recursive least squares; parameter identification;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
On-line tool wear estimation in turning is essential for on-line cutting process optimization. In this paper, a delta approach adaptive observer, based on cutting force measurement, is used for a reliable on-line flank wear estimation. The adaptive observer design combines optimal state estimation and a recursive least squares method as the adaptation algorithm. For model validation, the flank wear is estimated using a nonlinear model. The proposed approach improves the results previously proposed in other research works particularly concerning the number of identified parameters.
引用
收藏
页码：137 / 142
页数：6
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