Research on the Parameter Identification of LuGre Tire Model Based on Genetic Algorithms

DOI

10.2991/iske.2007.84How to use a DOI?

Keywords

PID control, Parameter identification,Genetic algorithms

Abstract

The LuGre tire model is a dynamic tire friction model which can describe the dynamic characteristic, but because of its high nonlinearity, it is very difficult to identify the parameters of the model. A two-step method for the parameter identification of LuGre tire model based on genetic algorithms is presented in this paper. In the first step, four static parameters are estimated via PD control, and in the second step, two dynamic parameters are obtained by the PID control. In the two steps, genetic algorithms are used to minimize the identification error.

Copyright

© 2007, 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/).

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TY  - CONF
AU  - Derong Tan
AU  - Yanyang Wang
AU  - Li Zhang
PY  - 2007/10
DA  - 2007/10
TI  - Research on the Parameter Identification of LuGre Tire Model Based on Genetic Algorithms
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 498
EP  - 502
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.84
DO  - 10.2991/iske.2007.84
ID  - Tan2007/10
ER  -