Friction parameters identification and compensation of LuGre model base on genetic algorithms
Authors
Yuqin Wen, Ming Chu, Hanxu Sun
Corresponding Author
Yuqin Wen
Available Online January 2015.
- DOI
- 10.2991/isci-15.2015.33How to use a DOI?
- Keywords
- LuGre friction model; genetic algorithms; servo system; friction compensation.
- Abstract
According to the interference of the servo system, a method is proposed that identify the parameters of LuGre friction model and compensate the friction torque base on genetic algorithms. First, establish the LuGre friction model, on the basis of the model, identify the static parameters and the dynamic parameters in turn. Second, introduce the friction compensation to the feedback control of the servo system so that to eliminate the interference and improve the system tracking accuracy and robustness.
- Copyright
- © 2015, 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 - Yuqin Wen AU - Ming Chu AU - Hanxu Sun PY - 2015/01 DA - 2015/01 TI - Friction parameters identification and compensation of LuGre model base on genetic algorithms BT - Proceedings of the 2015 International Symposium on Computers & Informatics PB - Atlantis Press SP - 229 EP - 238 SN - 2352-538X UR - https://doi.org/10.2991/isci-15.2015.33 DO - 10.2991/isci-15.2015.33 ID - Wen2015/01 ER -