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| Bouc_Wen Model Parameter Identification for a MR damper based on Genetic Algorithm |
| LIU Yong-qiang1; YANG Shao-pu2; LIAO Ying-ying3; Zhang Geng-ning2 |
| 1. School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China;2. Shijiazhuang Railway Institute, Shijiazhuang 050043, China;3. School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China |
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Abstract How to identify parameters of Bouc_Wen model without any prior knowledge except for experimental data is a vital problem to be solved. A Bouc_Wen dynamic model of magnetorheological(MR) dampers is considered and its parameters are obtained by using genetic algorithm(GA) based on the mechanical characteristic experiment of a MR damper. Identification precision of GA is improved gradually by shrinking linear range of these parameters. Functional relationship between some parameters and applied current is determined using curve fitting through analyzing their characteristic curves. The specific function expressions are got by using GA . At last, the identification results and curve fitting results are verified with experiment data in different amplitude and frequency. The results shown that identification results of Bouc_Wen model which identification precision is improved by shrinking parameters range are close to global optimum values, and the model identified can meet need.
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Received: 30 March 2010
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Corresponding Authors:
LIU Yong-qiang
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2011, Vol. 30 
