中国机械工程 ›› 2022, Vol. 33 ›› Issue (06): 647-655.DOI: 10.3969/j.issn.1004-132X.2022.06.003

• 机械基础工程 • 上一篇    下一篇

考虑基坐标系误差的机器人运动学标定方法

倪华康1;杨泽源2;杨一帆2;陈新渡2;严思杰2;丁汉2   

  1. 1.江苏集萃华科智能装备科技有限公司,无锡,214100
    2.华中科技大学机械科学与工程学院,武汉,430074
  • 出版日期:2022-03-25 发布日期:2022-04-21
  • 通讯作者: 杨泽源(通信作者),男,1995年生,博士研究生。研究方向为大型复杂构件机器人加工与质量监测。E-mail:yangzeyuan@hust.edu.cn。
  • 作者简介:倪华康,男,1995年生,硕士。研究方向为机器人标定与自适应加工。E-mail:806482787@qq.com。
  • 基金资助:
    国家重点研发计划重点专项(2019YFA0706703);
    国家自然科学基金(52075204)

Robot Kinematics Calibration Method Considering Base Frame Errors

NI Huakang1;YANG Zeyuan2;YANG Yifan2;CHEN Xindu2;YAN Sijie2;DING Han2   

  1. 1.Jiangsu Jitri-HUST Intelligent Equipment Technology Co.,Ltd.,Wuxi,Jiangsu,214100
     2.School of Mechanical Science and Engineering,Huazhong University of Science and Technology,Wuhan,430074
  • Online:2022-03-25 Published:2022-04-21

摘要: 提出了一种基于机器人几何参数误差与基坐标系位姿误差的六轴串联型机器人误差标定方法。首先基于MD-H方法建立了IRB6700机器人几何参数误差模型,得到机器人连杆几何参数误差到机器人末端位姿误差的映射关系;然后进一步考虑了基坐标系的位姿误差,并建立了考虑基坐标系误差的机器人误差模型;此外,针对传统标定方法操作繁琐、偶然误差大等问题,提出了一种改进的参数辨识方法,进一步提高了标定过程的可操作性与标定精度。最后,开展了本体标定实验与基坐标系误差扰动实验,结果表明所提方法将机器人位置误差的平均值由3.1928 mm减小至0.1756 mm,位置误差的标准差由0.5494 mm下降到0.0830 mm。基坐标系位姿误差扰动前后参数辨识的结果一致性高于99%,标定精度及稳定性得到显著提高。

关键词: 工业机器人, 运动学标定, 误差模型, 基坐标系位姿误差

Abstract: A six-axis serial robot error calibration method  was proposed based on the robot geometric parameter errors and the base frame position and attitude errors. Firstly, an geometric parameter error model of the IRB6700 robot was established based on the MD-H method, and the mapping relationship between the geometric parameter errors of the robot connecting rods and the end pose errors of the robot was obtained. Then, the position and attitude errors of the base frame were further considered, and the robot error model  was established considering the errors of the base frame. In addition, to address the cumbersome operation and large accidental errors of traditional calibration methods, an improved parameter identification method was proposed to further improve the operability and calibration accuracy of the calibration processes. Finally, the body calibration experiments and the base frame error disturbance experiments were carried out. The results show that the proposed method decreases the average position error of the robot from 3.1928 mm to 0.1756 mm, and the standard deviation of the position errors decreases from 0.5494 mm to 0.0830 mm. Moreover, the consistency of the parameter identification results under base frame error disturbance is higher than 99%, and the calibration accuracy and stability are improved. 

Key words: industrial robot,  , kinematics calibration,  , error model,  , base frame position and attitude error

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