• DocumentCode
    1338180
  • Title

    A Real-Time Algorithm for Determining the Optimal Paint Gun Orientation in Spray Paint Applications

  • Author

    From, Pål Johan ; Gravdahl, Jan Tommy

  • Author_Institution
    Dept. of Eng. Cybern., Norwegian Univ. of Sci. & Technol., Trondheim, Norway
  • Volume
    7
  • Issue
    4
  • fYear
    2010
  • Firstpage
    803
  • Lastpage
    816
  • Abstract
    In this paper, we present a method for increasing the speed at which a standard industrial manipulator can paint a surface. The approach is based on the observation that a small error in the orientation of the end effector does not affect the quality of the paint job. It is far more important to maintain constant velocity throughout the trajectory. We consider the freedom in the end-effector orientation as functional redundancy and represent the restriction on the orientation error as barrier functions or linear matrix inequalities. In doing this, we cast the problem of finding the optimal orientation at every time step into a convex optimization problem that can be solved very efficiently and in real time. We show that the approach allows the end effector to maintain a higher constant velocity throughout the trajectory guaranteeing uniform paint coating and substantially reducing the time needed to paint the object.
  • Keywords
    end effectors; industrial manipulators; optimisation; painting; position control; quality control; spray coatings; convex optimization problem; end effector; industrial manipulator; paint coating; paint gun orientation; paint job quality; spray painting; Automotive engineering; Coatings; End effectors; Linear matrix inequalities; Painting; Paints; Redundancy; Spraying; Tail; Trajectory; Assembly-line manufacturing; convex optimization; functional redundancy; modeling; robotics; spray painting;
  • fLanguage
    English
  • Journal_Title
    Automation Science and Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5955
  • Type

    jour

  • DOI
    10.1109/TASE.2009.2033567
  • Filename
    5339115