@inproceedings{1a7d020a43f4485db404da20431f72c1,
title = "A robot method based on self-adjusting factor fuzzy control algorithm for the seam tracking",
abstract = "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.",
keywords = "Dynamic compensation, Fuzzy control, Seam track, Self-adjusting factor",
author = "Yong Tao and Fan Ren and Jing Yang and Tianmiao Wang and Chaoyong Chen and Shan Jiang",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Robotics and Biomimetics, ROBIO 2019 ; Conference date: 06-12-2019 Through 08-12-2019",
year = "2019",
month = dec,
doi = "10.1109/ROBIO49542.2019.8961713",
language = "英语",
series = "IEEE International Conference on Robotics and Biomimetics, ROBIO 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1001--1006",
booktitle = "IEEE International Conference on Robotics and Biomimetics, ROBIO 2019",
address = "美国",
}