振动
方位(导航)
控制理论(社会学)
推力
推力轴承
磁力轴承
信号(编程语言)
振动控制
执行机构
工程类
计算机科学
结构工程
声学
物理
机械工程
转子(电动)
控制(管理)
人工智能
电气工程
程序设计语言
作者
Mingke Ren,Xiling Xie,Dequan Yang,Zhiyi Zhang
标识
DOI:10.1177/14750902211070226
摘要
The axial vibration of a shaft-bearing system induced by the thrust excitation is usually composed of multiple tones. To suppress the axial vibration of the shaft-bearing system, two inertial electro-magnetic actuators are mounted symmetrically at the thrust bearing and work in parallel to exert control forces. The control signal is generated by an adaptive algorithm with subband filtering, which aims to attenuate over a broadband the vibration of the thrust bearing and its foundation induced by the dynamic thrust force. To reduce computational complexity, the recursive computation is partly realized with the auto-regressive moving average (ARMA) model. The proposed active control approach is evaluated numerically at first with the dynamic model of the shaft-bearing system and then verified with an experimental system. It is demonstrated by the numerical and experimental results that the active control approach is able to suppress the multi-tone vibration of the thrust bearing and the foundation. Moreover, in comparison to the single-band adaptive feedback algorithm, the adaptive algorithm with subband filtering is more effective when the disturbance contains multiple tones.
科研通智能强力驱动
Strongly Powered by AbleSci AI