适应性
模糊控制系统
跟踪(教育)
计算机科学
模糊逻辑
机器人
机器人焊接
计算机视觉
因子(编程语言)
人工智能
算法
心理学
生态学
教育学
生物
程序设计语言
作者
Yong Tao,Fan Ren,Jing Yang,Tianmiao Wang,Chaoyong Chen,Shan Jiang
标识
DOI:10.1109/robio49542.2019.8961713
摘要
This paper proposes a method for the seam tracking based on the self-adjusting factor fuzzy control algorithm. The method studies the self-adjusting factor with real-time variation of seam track deviation, and improves welding adaptability and dynamic performance. We combine the structured light vision sensor, image processing technology and robot to extract the seam track to the robot in real time. We use the self-adjusting factor fuzzy control algorithm to achieve smooth adaptive seam tracking. Finally, the simulation experiments show that the control method has good control precision and effectively improves the welding precision.
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