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基于嵌入式DSP视觉伺服平台的管道MIG打底焊焊缝成形控制
黄操1, 孙振国1, 陈强1, 廖剑雄2, 王定贺2, 陈卫中2
1.清华大学, 先进成形教育部重点实验室, 北京 100084;2.昆山市华恒焊接设备技术有限责任公司, 江苏 昆山 215301
摘要:
针对坡口加工及焊接变形等因素引起的焊缝坡口宽度不确定性变化影响焊缝成形的问题,建立了基于嵌入式DSP(digital signal processor)视觉伺服平台的管道MIG打底焊焊缝成形控制系统.所设计的视觉伺服平台采用TMS320DM642实现焊接熔池区域图像的采集与处理,采用TMS320F2812实现焊枪位姿和焊接工艺参数的实时调整.设计了专门的图像处理算法,分离并提取熔池、焊缝和焊丝的位置信息.通过对焊缝坡口宽度变化的视觉检测,实时调节焊接速度、焊枪摆动宽度和中心位置等参数,获得了外观良好、X光检验合格的焊缝成形。
关键词:  MIG打底焊  视觉伺服  嵌入式DSP系统  熔池区域图像  图像处理
DOI:
分类号:
基金项目:国家自然科学基金资助项目(50875147);国家863高技术研究发展计划资助项目(2007AA04Z258)
Weld seam formation control of root pass for pipeline MIG welding based on an embedded DSP visual servo platform
HUANG Cao1, SUN Zhenguo1, CHEN Qiang1, LIAO Jianxiong2, WANG Dinghe2, CHEN Weizhong2
1.Key Laboratory for Advanced Materials Processing Technology, Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China;2.Huaheng Welding Equipment & Technical Co. Ltd. Kunshan 215301, Jiangsu, China
Abstract:
In the root pass of pipeline MIG welding, the unpredicted gap variation of weld seam caused by groove-preparing or welding deformation has extremely significant influence on the quality of weld seam.For this reason, a weld seam formation control system based on an embedded DSP(digital signal processor) visual servo platform was established.In the visual servo platform, TMS320DM642 has been used to grab and process the image in the weld pool area and TMS320F2812 has been used to accomplish real-time adjusting of welding torch posture and welding parameters.With a particularly designed image processing algorithm, the position information of weld pool, the weld seam and feeding wire were detached and calculated successfully.Then, according to the visual sensing results of weld seam width, real-time control of weld seam formation of root pass of pipeline MIG welding was fulfilled through the online regulation of welding parameters.X-ray test qualified weld seams with good apperearance are obtained.
Key words:  root pass MIG welding  visual servo  embedded DSP system  image of weld pool area  image processing