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

Derong Tan, Yanyang Wang, Li Zhang
2007 Proceedings on Intelligent Systems and Knowledge Engineering (ISKE2007)   unpublished

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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,
more » ... netic algorithms are used to minimize the identification error.
doi:10.2991/iske.2007.84 fatcat:unfsyh2jyjaa5gazwde2xm5kvq
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Derong Tan, Yanyang Wang, Li Zhang. "Research on the Parameter Identification of LuGre Tire Model Based on Genetic Algorithms." Proceedings on Intelligent Systems and Knowledge Engineering (ISKE2007) (2007)