磁流变液阻尼器试验与建模研究

针对参数化模型不能直接反映阻尼器逆向动态特性、非参数化建模需大量试验数据问题，提出两者结合模型。该模型用自适应神经模糊系统建立位移、速度对阻尼力的非线性表达模型，用参数化方法描述阻尼力随电压及速度的变化输出模型。研究表明，此建模方法能较好逼近磁流变液阻尼器试验结果并反映其非线性特性，便于实际控制，且可减少计算工作量。

Experiment and modeling research on magneto-rheological damper

For the strong non-linear characteristics of magneto-rheological damper(MRD), building an effective model is a key to make MRD use in practical engineering. For both the parametric model and non-parametric model have their own drawbacks, this paper proposed a new model which combined the parametric model with non-parametric model. This new model uses an adaptive neural-fuzzy inference system(ANFIS) to build a non-parametric model describes the effect of displacement and velocity on damping force; use parametric method to describe the maximum damping force in relation with the voltage and the maximum rod speed. The results shows that this modeling method has a good approximation to the MRD experimental results, and can well reflect the non-linear characteristics of MRD. This method is convenient for actual control and shorten the calculation process.