零参考模型用于工业机器人定位精度提升研究* .txt
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中图分类号: TH161TP391TB92文献标识码: A国家标准学科分类代码: 41055 .txt

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*基金项目:国家自然科学基金(51675259,51905258)、江苏省自然科学基金 (BK20170763)项目资助 .txt


Research on improvement of industry robot positioning accuracy based on ZRM .txt
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    摘要:几何参数建模是机器人标定的基础,直接影响机器人定位精度。为解决常用几何参数模型当机器人相邻两轴线垂直及接近垂直时存在奇异性,建立了基于方向矢量和连接矢量的零参考模型(ZRM),该模型不仅满足完备性与连续性要求,而且使用该模型计算机器人末端位置和姿态简单直观;建立了几何参数标定误差模型,通过使用LeicaAT960激光跟踪仪对Staubli TX60和ER10LC10两种工业机器人末端大量位姿实测,经正交三角分解去除冗余参数,采用LM算法对几何参数误差辨识,并与基于MDH模型的标定结果比较,实验结果证实,采用零参考模型标定后机器人末端平均绝对定位精度提升75%~90%,明显高于采用MDH模型标定结果,该模型适于在有高精度定位精度要求工业机器人中推广。 .txt

    Abstract:

    Abstract:Geometric parameters modeling is the basis of robot calibration, which directly affects the robot positioning accuracy. The common geometric parameters model has the singularity when the two adjacent axes of the robot are vertical and close to vertical. To solve this problem, a zero reference model (ZRM) based on the direction vector and the connection vector is formulated. It not only meets the requirements of completeness and continuity, but also it is simple and intuitive to calculate the robot endeffector position and orientation. The error model of geometric parameters is established. The endeffector positions and orientations of Staubli Tx60 and ER10LC10 industrial robots are measured by Leica AT960 laser tracker. The reduntant parameters are removed by the orthogonal triangle decomposition method and the geometric parameters errors are identified by the LM algorithm. The results are compared with the output of the MDH model. Experimental results show that the average absolute positioning accuracy of robot endeffector cabibrated by ZRM model is improved by 75%~90%, which is obviously higher than that cabibrated by MDH model. This method is suitable for industrial robots with high positioning accuracy requirements. .txt

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赵艺兵,温秀兰,康传帅,宋爱国,乔贵方 . txt.零参考模型用于工业机器人定位精度提升研究* . txt[J].仪器仪表学报,2020,41(5):76-84

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  • 在线发布日期: 2022-03-01
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