A robot method based on self-adjusting factor fuzzy control algorithm for the seam tracking
- Resource Type
- Conference
- Authors
- Tao, Yong; Ren, Fan; Yang, Jing; Wang, Tianmiao; Chen, Chaoyong; Jiang, Shan
- Source
- 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO) Robotics and Biomimetics (ROBIO), 2019 IEEE International Conference on. :1001-1006 Dec, 2019
- Subject
- Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
General Topics for Engineers
Robotics and Control Systems
Signal Processing and Analysis
Transportation
seam track
fuzzy control
self-adjusting factor
dynamic compensation
- Language
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.