Iterative learning control strategy for information model-based precision leadscrew grinding process

被引：0

作者：

Bin, H ^{[1
]}

Chen, S ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, Sch Mech Sci & Engn, Wuhan, Peoples R China

来源：

16TH INTERNATIONAL CONFERENCE ON COMPUTER-AIDED PRODUCTION ENGINEERING - CAPE 2000 | 2000年 / 2000卷 / 05期

关键词：

generalized kinematic error; error compensation; iterative learning control; information model; uncertainty;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper puts forward a new compensation strategy for the generalized kinematic errors (GKEs) using off-line measuring information of the machined workpiece. An iterative learning control algorithm (ILCA) supported by the information model of machining complex is adopted to realize the strategy when the GKEs is produced by error motion of two relative motions, e.g. the helical errors of a lend screw. Experimental results show that the proposed GKEs compensation strategy and the information model based ILCA is effective for the precision leadscrew grinding process control.

引用

页码：253 / 260

页数：6

共 6 条

[1] FANG CZ, 1988, PROCESS IDENTIFICATI, P92
[2] A study on the robustness of a PID-type iterative learning controller against initial state error
Park, KH
Bien, Z
Hwang, DH
[J]. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 1999, 30 (01) : 49 - 59
[3] TSAI MD, 1990, ANN CIRP, V39, P447
[4] VANLUTTERVELT CA, 1998, ANN CIRP, V47, P587, DOI DOI 10.1016/S0007-8506(07)63244-2
[5] VINOLAS J, 1997, ANN CIRP, V46, P239
[6] Convergence and robustness of discrete time nonlinear systems with iterative learning control
Wang, DW
[J]. AUTOMATICA, 1998, 34 (11) : 1445 - 1448

← 1 →