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机器人摆动弧焊纠偏的模糊神经网络控制系统

Fuzzy Neural Network Control System for Rectifying Deviation in Robotic Swaying Weld

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【作者】 王刚徐颖张传英

【Author】 WANG Gang 1,XU Ying 2,ZHANG Chuan ying 3 (1.?Mechanical Engineering College,Tianjin University,Tianjin 300072,China;? 2.?Information Technology College,Nankai University,Tianjin 300071,China;? 3.?Tianjin Broadcast Equipment Corporation,Tianjin

【机构】 天津大学机械工程学院!天津300072南开大学信息技术科学学院!天津300071天津广播器材公司!天津300210

【摘要】 讨论了机器人摆动弧焊的视觉跟踪控制系统。由CCD摄像机通过特殊设计的复合滤光系统摄取近弧区图象。图象处理后计算焊枪和焊缝之间的偏差。模糊神经网络用于控制纠偏机构的运动。实验结果证明了此方法的可行性。

【Abstract】 A vision tracking control system in Robotic swaying weld is discussed in this paper. The near arc area image is catched by a CCD camera through a specially designed visible light compound filter system. The deviation between torch and seam is calculated after image processing. Fuzzy neural network is adopted to control the motion of rectifying mechanical device. The feasibility of this method is proved by the results of experiments.

  • 【文献出处】 基础自动化 ,BASIC AUTOMATION , 编辑部邮箱 ,2000年04期
  • 【分类号】TP273
  • 【被引频次】3
  • 【下载频次】89
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