This paper presents a parametric modeling of a magneto-rheological (MR) damper using a Particle Swarm Optimization (PSO) method. The objective of this paper is toudoptimize the parameter values of the MR fluid damper behavior using the Bouc-Wen model. The parametric identification was imposed beforehand in replicating theudbehavior of the MR fluid damper. The algebraic function from a number of hysteresis models was steered by comparing selected models: Bingham, Bouc-Wen and BoucWen by Kwok. A simulation method was operated in investigating these models by employing MATLAB reliant from the model intricacy. The experimental data was presented in terms of the time histories of the displacement, the velocity and the force parameters, measured for both constant and variable current settings and at a selected frequency applied to the damper. The model parameters were determined using a set of experimental measurements corresponding to different current constant values. It has been shown that the MR damper model’s response via the proposed approach is in good agreement with the MR damper test rig counterpart
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机译:本文介绍了使用粒子群优化(PSO)方法的磁流变(MR)阻尼器的参数化建模。本文的目的是使用Bouc-Wen模型优化MR流体阻尼器性能的参数值。在复制MR流体阻尼器的行为之前,先进行参数识别。通过比较选定的模型(Bingham,Bouc-Wen和BoucWen by Kwok)来控制多个滞后模型的代数函数。通过采用依赖于模型复杂性的MATLAB,在研究这些模型时采用了一种仿真方法。根据位移,速度和力参数的时间历史记录了实验数据,这些参数是针对恒定电流和可变电流设置以及在应用于减振器的选定频率下测量的。使用与不同电流常数值相对应的一组实验测量值确定模型参数。结果表明,MR阻尼器模型通过建议的方法得到的响应与MR阻尼器测试台的对应物非常吻合
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