• DocumentCode
    2944923
  • Title

    A novel method of surface-normal measurement in robotic drilling for aircraft fuselage using three laser range sensors

  • Author

    Gong, Maozhen ; Yuan, Peijiang ; Wang, Tianmiao ; Yu, Leibin ; Xing, Hongwen ; Huang, Wen

  • Author_Institution
    Intell. Technol. & Robot. Res. Center, Beihang Univ., Beijing, China
  • fYear
    2012
  • fDate
    11-14 July 2012
  • Firstpage
    450
  • Lastpage
    455
  • Abstract
    Surface-normal measurement is an essential part in robotic drilling system. A novel method to measure the surface-normal of aircraft skin is proposed in this paper. Resumptively, three laser range sensors evenly distributed around the drill bit are used to measure the distance from them to aircraft skin within a small area. So the coordinates of three measured points can be obtained, and the normal vector is calculated from the cross product of any two vectors that are tangent to the surface at the drilling point. The simulation results and experiment conducted on an aeronautical drilling robot validate the precision and efficiency improvement of the drilling. The presented method is appropriate for intelligent robotic drilling for aircraft fuselage.
  • Keywords
    aerospace components; aircraft instrumentation; drilling; industrial robots; intelligent robots; laser ranging; vectors; aeronautical drilling robot; aircraft fuselage; aircraft skin; distance measurement; drill bit; drilling efficiency improvement; drilling precision improvement; intelligent robotic drilling; laser range sensors; normal vector; surface-normal measurement method; vector cross product; Aircraft; Measurement by laser beam; Position measurement; Robots; Sensors; Surface emitting lasers; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Intelligent Mechatronics (AIM), 2012 IEEE/ASME International Conference on
  • Conference_Location
    Kachsiung
  • ISSN
    2159-6247
  • Print_ISBN
    978-1-4673-2575-2
  • Type

    conf

  • DOI
    10.1109/AIM.2012.6266022
  • Filename
    6266022