NDLI: Assessment of feedback variables for through the arc seam tracking in robotic gas metal arc welding

Content Provider	IEEE Xplore Digital Library
Author	Jianming Tao Levick, P.
Copyright Year	1999
Description	Author affiliation: Fanuc Robotics North America, Rochester Hill, MI, USA (Jianming Tao)
Abstract	Through arc seam tracking for robotic arc welding is used by many robot manufacturers and automated arc welding system builders to compensate for weld joint location variance relative to the taught path of the robot manipulator. The method typically requires the robot manipulator to weave the weld torch assembly across the weld joint and to subsequently monitor the variation in welding arc current as a function of torch position. New weld power supply designs incorporating various proprietary control mechanisms require changes in the feedback variable selection traditionally used for through the arc sensing. Understanding and quantifying the control techniques used by the subject weld power source is required in order to provide robust seam tracking. Experiments were conducted to assess the impact of weld power source control technique on feedback values of welding current and voltage relevant to seam tracking. Several pulsed output power sources with different control philosophies were evaluated and the resulting data is presented. The results of these experiments are presented along with conclusions regarding the optimum choice of feedback variable for through arc seam tracking.
Starting Page	3050
Ending Page	3052
File Size	288780
Page Count	3
File Format	PDF
ISBN	0780351800
ISSN	10504729
DOI	10.1109/ROBOT.1999.774061
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-05-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feedback Welding Robotics and automation Manipulators Robotic assembly Manufacturing automation Monitoring Power supplies Input variables Robust control
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software

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