Suppressing the vibration of shafting bearings is an effective measure to reduce vibration transmission from the shafting to its elastic supports.The active vibration transmission control of a shafting system,consisting of water-lubricated bearings and a thrust bearing was investigated,and an active control scenario,using inertial electromagnetic actuators to tranquilize the thrust bearing was presented.In the active control,an online identification and a filtering algorithm were applied to establish the control channel model influenced by the shaft-speed-dependent characteristics of the rubber bearings.A simplified physical model was introduced to explore the mechanism of the speed- dependent characteristics.The LMS-based adaptive identification algorithm and the subspace filtering algorithm were adopted to derive for the control channel an FIR model without noise contamination caused by speed-modulated periodical disturbances.The transmission suppression was realized via the Filtered-x LMS algorithm with two additional units for disturbance reconstruction and saturation alleviation.The simulation and experimental results demonstrate that the online identification of the FIR model is effective and the active control mthod is able to suppress the speed-modulated periodical vibration of shafting bearings.%研究基于惯性式作动器的轴系振动主动控制方法，用于抑制轴系振动向弹性基础传递。首先通过简化的轴系模型，分析了随转速变化的橡胶轴承支承特性导致轴系振动特性显著改变的原因，然后提出控制通道模型在线辨识与周期振动抑制方法。使用LMS辨识算法和子空间滤波方法获取轴系运行状态下的控制通道的脉冲响应，滤除其中由转速调制的周期干扰信号，并使用内嵌饱和抑制与干扰重构的Filtered-x LMS算法构建由转速调制的周期干扰的抑制方法。仿真和试验结果表明，经过滤波的脉冲响应的在线辨识模型更加有效，而且控制方法能够抑制转速调制的周期干扰，减小弹性基础振动。
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