Semi-active suspension systems for railway vehicles using magnetorheological dampers. Part I: system integration and modelling
Semi-active suspension systems for railway vehicles using magnetorheological dampers. Part I: system integration and modelling
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DOI：
10.1080/00423110802538328
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发表时间：
2009-10
影响因子：
3.6
通讯作者：
D. H. Wang;W H Liao
中科院分区：
文献类型：
--
作者：
D. H. Wang;W H Liao
本文旨在研究使用磁流变（MR）流体阻尼器的半主动悬架系统，以提高铁路车辆的乘坐质量。提出了一种在其二悬架系统中集成了半主动控制磁流变流体阻尼器的全尺寸铁路车辆的 17 自由度 (DOF) 模型，以应对车体、转向架和轮对的横向、偏航和侧倾运动。建立了结合了悬挂系统中集成磁流变阻尼器的铁路车辆动力学和轨道不平顺动力学的控制方程，并采用了使用加速度反馈的线性二次高斯（LQG）控制律，其中状态变量通过卡尔曼估计器根据可测量的加速度进行估计。为了评估基于磁流变阻尼器的铁路车辆半主动悬架系统的性能，根据测试数据，采用统一状态空间公式对随机和周期性轨道不平顺进行建模，并将其纳入铁路车辆半主动悬架系统的控制方程中。利用本文开发的控制方程和半主动控制器，本文的第二部分进行了仿真和分析。
In this paper, it is aimed to investigate semi-active suspension systems using magnetorheological (MR) fluid dampers for improving the ride quality of railway vehicles. A 17-degree-of-freedom (DOF) model of a full-scale railway vehicle integrated with the semi-active controlled MR fluid dampers in its secondary suspension system is proposed to cope with the lateral, yaw, and roll motions of the car body, trucks, and wheelsets. The governing equations combining the dynamics of the railway vehicle integrated with MR dampers in the suspension system and the dynamics of the rail track irregularities are developed and a linear quadratic Gaussian (LQG) control law using the acceleration feedback is adopted, in which the state variables are estimated from the measurable accelerations with a Kalman estimator. In order to evaluate the performances of the semi-active suspension systems based on MR dampers for railway vehicles, the random and periodical track irregularities are modelled with a uniform state-space formulation according to the testing data and incorporated into the governing equation of the railway vehicle integrated with the semi-active suspension system. Utilising the governing equations and the semi-active controller developed in this paper, the simulation and analysis are presented in Part II of this paper.