Improving Machining Accuracy with Robot Deformation Compensation

被引：56

作者：

Wang, Jianjun ^{[1
]}

Zhang, Hui ^{[1
]}

Fuhlbrigge, Thomas ^{[1
]}

机构：

[1] ABB Inc, Corp Res Ctr, Windsor, CT 06095 USA

来源：

2009 IEEE-RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS | 2009年

关键词：

MANIPULATORS; IDENTIFICATION;

D O I：

10.1109/IROS.2009.5353988

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Industrial robots offer a cheaper yet more flexible alternative to the CNC machines in the cleaning and pre-machining applications of automotive aluminum castings. But the low stiffness has limited the application of industrial robots to the machining tasks with very low precision requirement. This paper presents a practical method to compensate the robot deformation caused by the machining force. A constant joint stiffness model based feed forward compensation scheme is implemented in the robot controller. The compensation scheme is shown to be able to reduce the position error by more than 60%. Application test in milling a standard aluminum block has demonstrated the effectiveness of the proposed deformation compensation method. The surface error is reduced from 0.5mm to 0.1mm.

引用

页码：3826 / 3831

页数：6

共 10 条

[1]

Abderrahim M, 2007, IND ROBOTICS PROGRAM, P131

[2] Modeling and identification of an industrial robot for machining applications [J].