| 基于遗传算法的磁流变阻尼器模型参数识别 |
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| 引用本文： | 周晓宏,刘红军,刘鹏.基于遗传算法的磁流变阻尼器模型参数识别[J].功能材料,2006,37(6):1016-1017. |
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| 作者姓名： | 周晓宏 刘红军 刘鹏 |
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| 作者单位： | 1. 深圳职业技术学院,计算中心,广东,深圳,518055
2. 哈尔滨工业大学,深圳研究生院,广东,深圳,518055 |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 摘 要： | 优化技术是一种以数学为基础,可用来求解各种工程问题最优解的应用技术.本文利用磁流变阻尼器动态特性数据,采用遗传算法进行阻尼器模型参数识别优化过程,最终将得到的磁流变阻尼器模型参数用于土木工程结构振动控制研究.已建立的磁流变阻尼器的动力特性将在不同的电场强度和变化的位移幅度下进行测试,可以得到在不同位移和速度下恢复力的滞回曲线,建立Bouc-Wen模型.把根据试验得到的滞回曲线和使用遗传算法对模型参数进行优化的结果进行比较可知,这种模型的参数可以以十分小的误差得到优化.
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| 关 键 词： | 遗传算法 阻尼器 参数识别 |
| 文章编号： | 1001-9731(2006)06-1016-02 |
| 收稿时间： | 2005-12-15 |
| 修稿时间： | 2006-02-07 |
Identification for MR dampers based on genetic algorithm |
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| ZHOU Xiao-hong,LIU Hong-jun,LIU Peng.Identification for MR dampers based on genetic algorithm[J].Journal of Functional Materials,2006,37(6):1016-1017. |
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| Authors: | ZHOU Xiao-hong LIU Hong-jun LIU Peng |
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| Affiliation: | 1. Center for Computation, Shenzhen Polytechnic, Shenzhen 518055, China; 2. Shenzhen Graduate School, Harbin Institute of Technology, Shenzhefi 518055, China |
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| Abstract: | Optimization based on the maths can be used to solve the problems in engineering, For the function optimization,basic genetic operation is very important. By use of the dynamic characteristics of the MR damper, the parameters are identified from the simulation results. The model parameters will be used in vibration control for civil engineering. The dynamic characteristics could be obtained under different field and different amplitude. Then the BuncWen model for the MR damper is established in which the model parameters are determined from the testing data. A comparison between the experimental hysteresis loops and those predicted using the established model shows that the genetic algorithm captures the nonlinear damping behavior of the damper quite accurately. |
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| Keywords: | genetic algorithm damper parameter identification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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