Yulu Zeng
OPEN ACCESS
In order to obtain the damping coefficient and other parameters that influence the dynamic features of the valve, this paper employs the “LuGre friction model” to describe the precise dynamic and the static features, and presents a new one-step identification method for the parameter identification of LuGre friction model through the optimization by genetic algorithm. With the properly selected objective function, four static parameters and two dynamic parameters can be obtained simultaneously by the MATLAB programming language. The proposed method is proved effective through the verification of the identified parameters.
Damping, Friction model, Genetic algorithm, Parameter identification.
This paper is finacially supported by the Youth Science Fund of Jiangxi Province office of education(GJJ161124) and Foundation of Jiangxi Province Key Laboratory of Precision Drive & Control (PLPDC-KFKT-201619).
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