• DocumentCode
    335205
  • Title

    Model-based adaptive vision control of weld pool area

  • Author

    Kovacevic, Radovan ; Zhang, Yu M.

  • Author_Institution
    Center for Robotics & Manuf. Syst., Kentucky Univ., Lexington, KY, USA
  • Volume
    1
  • fYear
    1994
  • fDate
    29 June-1 July 1994
  • Firstpage
    313
  • Abstract
    Weld pool geometry is a crucial factor in determining welding quality, especially in the case of sheet welding. Quality images that can be processed in real-time to detect the pool geometry are acquired by using a high shutter speed camera assisted with nitrogen laser as an illumination source. An adaptive system is developed to control the pool area using the vision feedback. A model is proposed based on an analysis of the timing logic of the sampling periods. Also, an online identification algorithm is developed to improve the estimation accuracy and convergence. Experiments show that the developed control system can overcome the influence of various disturbances (torch speed, heat transfer condition, initial parameters, and unexpected sensing failure) under practical welding conditions.
  • Keywords
    adaptive systems; computer vision; image recognition; laser beam applications; model reference adaptive control systems; quality control; real-time systems; welding; adaptive system; computer vision; heat transfer condition; high shutter speed camera; model-based adaptive vision control; nitrogen laser; online identification; quality control; timing logic; torch speed; vision feedback; weld pool area; weld pool geometry; Adaptive control; Cameras; Control systems; Geometrical optics; Laser feedback; Laser modes; Lighting; Nitrogen; Programmable control; Welding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1994
  • Print_ISBN
    0-7803-1783-1
  • Type

    conf

  • DOI
    10.1109/ACC.1994.751749
  • Filename
    751749