active control
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2022 ◽  
pp. 2105184
Author(s):  
Yingchun Niu ◽  
Yang Zhou ◽  
Daxue Du ◽  
Xiangcheng Ouyang ◽  
Ziji Yang ◽  
...  

Author(s):  
Mingke Ren ◽  
Xiling Xie ◽  
Dequan Yang ◽  
Zhiyi Zhang

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.


2022 ◽  
Author(s):  
Michael Marques Goncalves ◽  
Sam Salehian ◽  
Vladimir V. Golubev ◽  
Reda R. Mankbadi

2022 ◽  
Author(s):  
Santosh Shanbogue ◽  
Drew Weibel ◽  
Felipe Gomez del Campo ◽  
Carmen Guerra-Garcia ◽  
Ahmed Ghoniem

2022 ◽  
Author(s):  
Wasi U. Ahmed ◽  
Keshav Panthi ◽  
Giacomo Valerio Iungo ◽  
D. Todd Griffith ◽  
Mario Rotea ◽  
...  

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