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Intelligent surface normal measurement method of end effector for the aeronautical drilling robot

  • Beihang University
  • Commercial Aircraft Corporation of China, Ltd.

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In order to solve the perpendicularity of robotic drilling in the aircraft assembly, this paper proposed a novel surface normal measurement method for the aeronautical drilling robot. Firstly, vision location module is used to mark the drilling point and get the coordinate of drilling point. Meanwhile, four laser range sensors start to measure the distance between the emitting laser points and their subpoints on the workpiece surface. Thus, the coordinates of four subpoints can be obtained. According to the four subpoints and drilling point, line or circle are used to approach two curves through the drilling point on the workpiece surface. Two tangent vectors of the two curves at drilling point can be obtained. Then the normal vector of drilling point can be calculated from the cross product of two tangent vectors. The angle between the normal vector and drill axis vector can be obtained. If the angle is greater than 0.5 degree, the two eccentric discs will rotate definite angles to meet the requirement. Finally, the simulation results and experimental results on the aeronautical drilling robot show that the surface normal measurement method is valid and effective to meet the requirement in aircraft assembly.

源语言英语
主期刊名Proceedings of 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781479967322
DOI
出版状态已出版 - 23 12月 2014
活动2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014 - Beijing, 中国
期限: 28 9月 201430 9月 2014

出版系列

姓名Proceedings of 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014

会议

会议2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014
国家/地区中国
Beijing
时期28/09/1430/09/14

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