Proceedings of the 2015 International Symposium on Computers & Informatics

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/).

Download article (PDF)

Volume Title
Proceedings of the 2015 International Symposium on Computers & Informatics
Series
Advances in Computer Science Research
Publication Date
January 2015
ISBN
978-94-62520-56-1
ISSN
2352-538X
DOI
10.2991/isci-15.2015.33How to use a DOI?
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  -