Parameter Identification for Dynamic Damping System Based on Genetic Algorithm

Parameter Identification for Dynamic Damping System Based on Genetic Algorithm

Yulu Zeng

Department of Mechanical & Electrical Engineering, Nanchang Institute of Technology, Nanchang 330099, China

Corresponding Author Email:
5 May 2017
13 June 2017
30 June 2017
| Citation



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.

1. Introduction
2. System Structure and Feature Implementation
3. Parameter Identification
4. Simulation Results and Analysis

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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