基于GA-最小二乘优化的MR阻尼器数值模型研究

STUDY ON NUMERICAL MODEL OF MR DAMPER BASED ON GA-LEAST-SQUARE OPTIMIZATION

  • 摘要: 磁流变阻尼器作为近几十年来在土木工程领域广泛使用的半主动控制装置,对于其力学机理的模拟已有了长足的发展,MR阻尼器的参数模型存在考虑建模方法局限,精度与效率不能兼得的缺陷;基于非线性参数识别和人工智能方法建立的非参数模型却缺乏物理意义,且极度依赖训练数据的规模。基于现状,该文提出一种考虑阻尼器响应滞后特性的双曲正切模型,使用阻尼器特性试验数据对模型进行验证;为了使得模型能考虑输入特性的影响,计算了模型参数的灵敏度系数,并使用GA-最小二乘优化的方法识别了灵敏度较高的参数,优化了MR数值模型的准确性,使用与试验结果的均方根误差(MSE)评价了优化效果。

     

    Abstract: As the semi-active control devices are widely used in the field of civil engineering in recent decades, the simulation of the mechanical mechanism of MR dampers has made great progress. The parametric model of MR dampers has limitations in modeling, and the accuracy and efficiency cannot be achieved simultaneously. Non-parametric models based on nonlinear parameter identification and artificial intelligence methods always lack physical meaning and the accuracy depends on the training data. Based on the current situation, a hyperbolic tangent model considering response delay is proposed in this paper. In order to make the model take into account the influence of input characteristics, the sensitivity coefficients of model parameters are calculated, and GA-least-squares optimization method is used to identify parameters with higher sensitivity, the accuracy of the numerical model is greatly improved. The root-mean-square error (MSE) with the test results is used to evaluate the optimization effect.

     

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