磁流变阻尼器建模及阻尼力跟踪控制试验研究

An experimental study on modelling and damping force tracking control of a magnetorheological damper

为了提升磁流变阻尼器阻尼力跟踪控制的精度,采用向量加权平均算法和贝叶斯非线性回归网络分别建立阻尼器的正向和逆向动力学模型;构建前馈逆模型与模糊控制反馈相结合的复合控制策略来实现半主动阻尼力跟踪控制。开展试验比较逆模型前馈控制与复合控制策略的跟踪效果以及复合控制策略在各个频率段的跟踪适用性。结果表明,复合控制策略能够达到较好的跟踪效果且比前馈逆模型控制策略的跟踪精度提高了6.4%;复合控制策略在0~7 Hz的频率段逼近精度基本在95%以上;在7~10 Hz,也能达到85%以上的逼近精度,验证了力跟踪控制算法的有效性。

To improve the accuracy of damping force tracking control of magnetorheological dampers,the forward and inverse dynamic models of a magnetorheological fluid damper were established by using a vector weighted average algorithm and a Bayesian nonlinear regression network respectively.The compound control strategy of the feedforward inverse model and fuzzy control feedback was constructed,and the semi-active tracking control of damping force was realized.The tracking effects of inverse model feedforward control and compound control strategy and the tracking applicability of compound control strategy in each frequency band were compared by experiments.The results show that the compound control strategy can achieve better tracking effect,and the tracking accuracy is 6.4% higher than that of the feedforward inverse model control strategy;the approximation accuracy of the composite control strategy is more than 95% in the 0-7 Hz frequency band;in the 7-10 Hz frequency band,it can also achieve 85% approximation accuracy,which verifies the effectiveness of the force tracking control algorithm.