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基于测距传感器的焊缝位置检测方法与实现 被引量:3

Design and Implementation of Weld Position Detection Method Based on Range Sensor
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摘要 焊缝跟踪技术是焊接自动化领域一项重点研究内容,可以分为前置焊缝寻位和实时焊缝跟踪。提出了一种前置焊缝寻位方法:在焊枪夹具上安装激光测距传感器,介绍了激光测距传感器的选型和接入机器人控制系统的方法,建立了光点位置和焊枪TCP位置的转换的模型,描述了基于边缘检测的焊缝寻位过程。最后,以KUKA弧焊机器人系统为平台搭建实验系统,测试了所提出的方法。实验表明,该方法可以成功纠正出因工件加工、拼接、装夹和焊接热变形等因素导致的焊缝位置偏移;较之原有的接触寻位法,提高了寻位效率,且易于实现。 A pre-weld-position method is proposed in this paper.A laser range sensor is selected and fixed to the gun brace and then connected into robot control system.The conversion model between the position of gun TCP and laser point is established.Then the weld seam position process based on edge-detection is stated.At last,an experiment system is realized on KUKA robot to verify the proposed method.
作者 卢亮 孟正大
出处 《工业控制计算机》 2014年第10期32-35,共4页 Industrial Control Computer
基金 国家重大专项项目(2010zx04008-041) 国家863项目(2009AA043903)提供资助
关键词 KUKA工业机器人 测距传感器 焊缝寻位 KUKA robot range sensor weld seam position detection
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  • 1吕伟新,吴林.弧焊视觉轨迹控制中的自动导引方法研究[J].机器人,2001,23(S1):664-666. 被引量:4
  • 2李原,徐德,沈扬,谭民.焊缝跟踪视觉传感器中图像多类型特征选择与提取[J].传感技术学报,2006,19(6):2676-2681. 被引量:11
  • 3Yoo W S, Na S J. Determination of 3-D weld seams in ship blocks using a laser vision sensor and a neural network [ J ]. Journal of Manufacturing Systems, 2003, 22 (4) : 340 - 347.
  • 4Shen H Y, Wu J, Lin T, et al. Arc welding robot system with seam tracking and weld pool control based on passive vision [J]. The International Journal of Advanced Manufacturing Technology, 2007, 39 (7 8): 669-678.
  • 5Zhu Z Y, Lin T, Piao Y J, etal. Recgnition of the in- tial position of weld based on the image pattern match technology for welding robot[J]. International Journal of Advanced Manufacturing, 2005, 26(7-8) : 784-788.
  • 6Chen X Z, Chen S B, Lin T, et al. Practical method to locate the initial weld position using visual technolo- gy[J]. International Journal of Advanced Manufactur- ing, 2006, 30(7-8): 663-668,.
  • 7Wong R Y, Hall E L. Sequential hierarchical scene matching [J]. IEEE Transactions on Computers Archive, 1978, 27(4) :359-366.
  • 8Ye B, Peng J X. Improvement and invariance analysis of Zernike moments using as a region-based shape de- scriptor[J]. Journal of Pattern Recognition and Image Analysis, 2002, 12(4) : 419-428.
  • 9Aoyagi S, Hattori N, Kohama A, etal, Object detec- tion and recognition using template matching with SIFT features assisted by invisible floor marks[J]. Journal of Robotics and Mechatronics, 2009, 21 ( 6 ) .. 689-697.
  • 10Mukundan R, Ramakrishnan K R. Fast computation of legendre and zenic moments[J]. Pattern Recogni- tion, 1995, 28(9): 1433-1442.

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