基于最小二乘法的关节机器人定位精度标定方法
欧阳旭东,骆林,许璟,刘子杨
(成都飞机工业( 集团) 有限责任公司,四川 成都 610091)
摘要:关节机器人的定位精度标定通常需要建立复杂的数学模型,本研究提出一种关节机器人定位精度标定方法,旨在简化标定过程中的复杂计算。将相机置于关节器人末端,垂直于相机光轴的平面上放置靶标,在关节转动过程中采集各测量点的靶标图像,然后利用图像算法识别各测量点靶标的成像情况,应用最小二乘法求解关节的转动误差分布情况。通过对机器人的J1关节进行标定试验,得到J1关节的转动误差分布情况,并求解出补偿角度,补偿以后J1关节的定位精度得到了改善。
关键词:最小二乘法;机器人;定位精度;标定
中图分类号:TP242 文献标志码:A doi:10.3969/j.issn.1006-0316.2022.04.011
文章编号:1006-0316 (2022) 04-0063-05
Calibration Method of Joint Robot Positioning Accuracy Based on Least Square Method
OUYANG Xudong,LUO Lin,XU Jing,LIU Ziyang
( Chengdu Aircraft Industrial (Group) Co., Ltd., Chengdu 610091, China )
Abstract:The positioning accuracy calibration of joint robot usually needs a complex mathematical model. In this study, a positioning accuracy calibration method of joint robot is proposed to simplify the complex calculation in the calibration process. The camera is placed at the end of the joint, the target is placed on the plane perpendicular to the optical axis of the camera, the target image of each measurement point is collected during the rotation of the joint, then the image algorithm is used to identify the imaging situation of the target of each measurement point, and the rotation error distribution of the joint is solved by the least square method. Through the calibration test of the J1 joint of the robot, the rotation error distribution of the J1 joint is obtained, and the compensation angle is solved. After the compensation, the positioning accuracy of the J1 joint is improved.
Key words:least square method;robot;positioning accuracy;calibration
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收稿日期:2021-09-14
作者简介:欧阳旭东(1989-),男,四川绵阳人,硕士,工程师,主要从事机加工艺、自动化应用研究工作,E-mail:ouyangxd@foxmail.com。
 

 

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