光电工程, 2017, 44 (5): 516, 网络出版: 2017-12-04   

光学加工机器人定位误差测量与分析

Measurement and analyses on positioning accuracy for optical processing robots
作者单位
1 中国科学院光电技术研究所,成都 610209
2 中国科学院大学,北京 100049
摘要
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
The high flexibility optical processing system based on the industrial robot can process large or complex work-pieces. But the positioning error characteristics of the industrial robot will cause the decrease of positioning ac-curacy during grinding, which leads to a lower processing efficiency and processing precision. This paper studies the method of decreasing positioning error, which is verified by simulation and optical processing experiments: Firstly, the positioning error of the polishing tool that fixed at the end of robot in the working area is measured in real-time by using an API T3 laser tracker, and the errors of dwell points are compensated. The measurement experimental results show that the positioning accuracy of the polishing tool meets the high-precision optical processing requirements with the compensation. The dwell time error and the removal error caused by the posi-tioning error before and after compensation are simulated, and the results show that after compensation, the removal error on 80% full aperture is reduced from 3.68% to 0.90%. At last, through the method of the position error compensation to replan the trajectory, the improvement of the processing efficiency and the accurate con-trol on grinding are verified by polishing experiments.

韩哈斯额尔敦, 曾志革, 刘海涛, 赵洪深. 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. Hasirden, Zhige Zeng, Haitao Liu, Hongshen Zhao. Measurement and analyses on positioning accuracy for optical processing robots[J]. Opto-Electronic Engineering, 2017, 44(5): 516.

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