光学加工机器人定位误差测量与分析

韩哈斯额尔敦, 曾志革, 刘海涛, 等. 光学加工机器人定位误差测量与分析[J]. 光电工程, 2017, 44(5): 516-522. doi: 10.3969/j.issn.1003-501X.2017.05.007
引用本文: 韩哈斯额尔敦, 曾志革, 刘海涛, 等. 光学加工机器人定位误差测量与分析[J]. 光电工程, 2017, 44(5): 516-522. doi: 10.3969/j.issn.1003-501X.2017.05.007
Hasirden, Zeng Zhige, Liu Haitao, et al. Measurement and analyses on positioning accuracy for optical processing robots[J]. Opto-Electronic Engineering, 2017, 44(5): 516-522. doi: 10.3969/j.issn.1003-501X.2017.05.007
Citation: Hasirden, Zeng Zhige, Liu Haitao, et al. Measurement and analyses on positioning accuracy for optical processing robots[J]. Opto-Electronic Engineering, 2017, 44(5): 516-522. doi: 10.3969/j.issn.1003-501X.2017.05.007

光学加工机器人定位误差测量与分析

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    *通讯作者: 韩哈斯额尔敦.E-mail: hasi315@sina.com
  • 中图分类号: TP242.2

Measurement and analyses on positioning accuracy for optical processing robots

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  • 基于工业机器人的高灵活度光学加工系统可以加工大型或形状复杂的工件。但是,机器人自身定位误差特性会引起磨盘在工件表面上的定位精度降低,从而导致加工精度和加工效率的下降。本文研究了减小定位误差的方法并在仿真和光学加工实验中进行了验证。首先用API T3激光跟踪仪实时测出固定在机械臂末端的抛光工具在工作区域内的定位误差,以此为基础对驻留点进行误差补偿。实验测量结果表明,通过补偿后抛光工具的定位精度达到了光学精密加工的要求。通过仿真,计算了误差补偿前后磨盘的定位误差引起的驻留时间误差及去除量误差。结果表明,补偿之后,80%口径内去除量误差由整体去除量的3.68%降低至0.90%。最后,通过抛光实验验证了,经过位置误差的补偿并重新规划加工轨迹后,有效提高了加工效率,磨削量控制更精确。

  • Abstract: With the wide applications of optical systems, the demand for optical components is increasing. In order to meet the requirements of large quantity and low cost production of optical components, the optical manufacturing industry must find out a high-efficient, high-accuracy, economical and practical processing method. After years of development, many new technologies, such as ion beam, magneto-rheological fluid and air bag, have been produced in optical manufacturing. However, these processing equipments are often expensive, and some of these processing equipment cannot process large or complex workpieces because of space limitation. The high flexibility optical processing system based on the industrial robot, which combined industrial robot technology and computer numerical control technology, can process special optical components. Since the arm-rigid of now available robot is low, the defect of high positioning error in optical process leads to a lower processing efficiency and processing precision. This paper set the optical processing robot as the study object, and the following research works were carried out:

    1) The positioning error of the polishing tool that fixed at the end of robot in circular flat area of Φ500 mm was measured in real-time by using an API Tracker 3 laser tracker. The spatial positions of dwell points were remeasured after the positioning error compensation. The measurement experimental results show that the positioning error of dwell points was reduced from 1158.3052 μm to 227.8408 μm.

    2) According to above measurement of the positioning error before and after compensation, the dwell time error and the removal rate error caused by each group were calculated in optical processing simulation. The results show that after compensation, the removal rate error on 80% aperture was reduced from 3.68% to 0.90%.

    3) A K9 material flat mirror of Φ130 mm was polished uniformly in the polishing experiment. The actual removal rate was obtained by subtracting surface data before and after processing. Based on the above measurements, the position error of dwell points was compensated. After replanning the processing trajectory, the removal rate error was reduced from 53.38 nm to 26.64 nm. The processing accuracy was improved by compensating the positioning error.

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  • 图 1  SIAI光学加工机器人

    Figure 1.  SIAI optical processing robot.

    图 2  安装激光跟踪仪靶球.

    Figure 2.  The installation of target ball.

    图 3  测量光学加工机器人定位误差.

    Figure 3.  Error measurement of optical processing robot.

    图 4  定位误差测量结果. (a) X方向误差. (b) Y方向误差. (c)距离误差. (d)距离误差(第二次测量结果).

    Figure 4.  Positioning error measurement results. (a) X-direction error. (b) Y-direction error. (c) Distance error. (d) Distance error (The second measurement result).

    图 5  重复定位精度测量结果.

    Figure 5.  Repeatability measurement results.

    图 6  定位误差补偿结果. (a) X方向误差. (b) Y方向误差. (c)距离误差.

    Figure 6.  Positioning error compensation results. (a) X-direction error. (b) Y-direction error. (c) Distance error

    图 7  仿真用去除函数.

    Figure 7.  The removal function for simulation.

    图 8  驻留时间.

    Figure 8.  Theoretical dwell time.

    图 9  驻留时间误差百分比分布.

    Figure 9.  Percentage of dwell time error.

    图 10  去除量误差. (a)全口径去除量误差. (b) 80%口径去除量误差.

    Figure 10.  The removal rate error. (a) Full aperture removal rate error. (b) 80% aperture removal rate error.

    图 11  补偿定位误差之后的去除量误差. (a)全口径去除量误差. (b) 80%口径去除量误差.

    Figure 11.  The removal rate error after compensating the positioning error. (a) Full aperture removal rate error. (b) 80% aperture removal rate error.

    图 12  实际加工过程.

    Figure 12.  The actual processing.

    图 13  (a) 补偿前和(b)补偿后的全口径去除量.

    Figure 13.  Full aperture removal rate before compensation (a) and after compensation (b).

    图 14  工件加工区域示意图.

    Figure 14.  The sketch map of workpiece processing area.

    图 15  (a) 补偿前和(b)补偿后的Φ 70 mm口径去除量.

    Figure 15.  Φ70mm aperture removal rate before compensation (a) and after compensation (b).

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出版历程
收稿日期:  2017-01-15
修回日期:  2017-03-21
刊出日期:  2017-05-15

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