Research on the Single Neuron PID Control for Welding Bath Depth
Authors
Xi-Wen Liu, Chao-Ying Liu
Corresponding Author
Xi-Wen Liu
Available Online December 2016.
- DOI
- 10.2991/mme-16.2017.88How to use a DOI?
- Keywords
- Welding bath depth, Intelligent control, Single-neuron PID, Hebb learning algorithm.
- Abstract
Welding bath depth control system based on single neuron self-tuning PID is designed, and several learning algorithms for neuron weights are simulated, the simulation results show that this controller reacts quickly and has good stability. The experiment with various cross-section and seam-gap workpiece is perfect, showingÿthatÿsingle-neuronÿself-tuning PID controller is suitable to the complicated welding system.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xi-Wen Liu AU - Chao-Ying Liu PY - 2016/12 DA - 2016/12 TI - Research on the Single Neuron PID Control for Welding Bath Depth BT - Proceedings of the 3rd Annual International Conference on Mechanics and Mechanical Engineering (MME 2016) PB - Atlantis Press SP - 643 EP - 649 SN - 2352-5401 UR - https://doi.org/10.2991/mme-16.2017.88 DO - 10.2991/mme-16.2017.88 ID - Liu2016/12 ER -