High-precision target pose adjustment based on 3-CCD microscope vision system

Wei SONG; Zhi-jie SONG; Ya-nan ZHANG; Lin-yong SHEN

doi:10.3788/OPE.20182607.1794

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High-precision target pose adjustment based on 3-CCD microscope vision system

Information Sciences | 更新时间：2020-08-13

- High-precision target pose adjustment based on 3-CCD microscope vision system
- Optics and Precision Engineering Vol. 26, Issue 7, Pages: 1794-1801(2018)
- 作者机构：
  
  上海大学机电工程与自动化学院, 上海 200072
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20182607.1794
  CLC： TN248
- Received：20 November 2017，
  
  Accepted：23 January 2018，
  
  Published：25 July 2018
- 稿件说明：
移动端阅览
Wei SONG, Zhi-jie SONG, Ya-nan ZHANG, et al. High-precision target pose adjustment based on 3-CCD microscope vision system[J]. Optics and precision engineering, 2018, 26(7): 1794-1801.
DOI：

Wei SONG, Zhi-jie SONG, Ya-nan ZHANG, et al. High-precision target pose adjustment based on 3-CCD microscope vision system[J]. Optics and precision engineering, 2018, 26(7): 1794-1801. DOI： 10.3788/OPE.20182607.1794.

摘要

针对高功率激光物理装置中的靶自动准直实验平台，提出了一种基于三路显微视觉的高精度靶位姿控制方法。该方法采用基于图像的显微视觉控制策略，通过对送靶机构的主动运动控制，实现了图像雅可比矩阵的在线自标定；利用增量式PI控制方法对送靶机构进行控制，实现靶的快速定位及姿态调整。本文对比了基于图像的显微视觉控制和之前研究中所提出的基于位置的显微视觉控制两种方法。其中，基于图像的控制方法靶的定位误差为0.07

m，姿态调整误差为0.02

rad；而基于位置的控制方法靶的定位误差为0.16

m，姿态调整误差为0.07

rad。实验结果表明：基于图像的显微视觉控制方法对系统中的运动学误差、视觉标定误差等因素具有较好的鲁棒性，靶定位及姿态调整的精度高且稳定性好。

Abstract

A 3-CCD microscope vision system is established to realize micro-target pose adjustment in a high-power laser device with high precision. Image-based visual control method is performed

and the image Jacobian matrix is derived online by using the active movement of the micro-target. The PI controller is used to adjust the micro-target's pose so that the image features are close to the objective position. In the experiments

we compare the image-based visual control method with the position-based visual control method

which was proposed in our previous research by using a 3D posture description algorithm to control the micro-target to the desired pose. The precision of target positioning and orientation error for the image-based visual control method are 0.07

m and 0.02

rad

respectively

whereas the precision of target positioning and orientation error values for the position-based visual control method are 0.16

m and 0.07

rad

respectively. The experimental results show that the image-based visual control method is robust for system errors such as kinematic and visual calibration errors. Thus

it possesses better precision and stability for target pose adjustment.

关键词

Keywords

references

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CAD stereo model multi-source matching for ICF target pose measurement

Target positioning in high power laser device

Related Author

CHEN ZhaoJie

ZHOU Yang

SONG Wei

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SHEN Lin-yong

Related Institution

School of Mechatronic Engineering and Automation， Shanghai University

Joint Laboratory of High Power Laser and Physics， Shanghai Institute of Optics and Fine Mechanics， Chinese Academy of Sciences

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