Active Engine Mount with Piezo-Actuator for Vibration Control

1993 ◽  
Author(s):  
Takao Ushijima ◽  
Syoichi Kumakawa
2011 ◽  
Vol 52-54 ◽  
pp. 358-364
Author(s):  
Jong Seok Oh ◽  
Seung Bok Choi

In this paper, vibration control performance of piezostack active engine mount system for unmanned aero vehicle (UAV) is evaluated via computer simulation. As a first step, the dynamic model of engine mount system which is supported at three points is derived. In the configuration of engine mount system, the inertia type of piezostack based active mount is installed for active vibration control. Then, the vibration level of UAV engine is measured. To attenuate the vibration which is transmitted from engine, a sliding mode controller which is robust to uncertain parameters is designed. Vibration control performances of active engine mount system are evaluated at each mount and center of gravity. Effective Control results are presented in both time and frequency domains.


1995 ◽  
Vol 61 (589) ◽  
pp. 3489-3496
Author(s):  
Yasuyuki Funahashi ◽  
Tomoyuki Sawatari ◽  
Nobuhiko Sakamoto ◽  
Masasumi Kokawa

2013 ◽  
Vol 721 ◽  
pp. 501-504
Author(s):  
Hang Xu Yang ◽  
Rui Min Wang ◽  
Dong Mei Liu

Study of LMS control method on active engine mount is carried out for ride quality improvement. Take an active engine mount which is based and developed from a hydraulic mount with decoupled disc-membrane as a module, the characteristic of vibration isolation of active engine mount is simulated and analyzed. The results indicated that active engine mount could reduce the vertical vibration effectively with LMS Control method.


Author(s):  
Y-W Lee ◽  
C-W Lee

Dynamic characteristics of a prototype active engine mount (AEM), designed on the basis of a hydraulic engine mount, have been investigated and an adaptive controller for the AEM has been designed. An equivalent mass-spring-damper AEM model is proposed, and the transfer function that describes the dynamic characteristics of the AEM is deduced from mathematical analysis of the model. The damping coefficient of the model is derived by considering the non-linear flow effect in the inertia track. Experiments confirmed that the model precisely describes the dynamic characteristics of the AEM. An adaptive controller using the filtered-X LMS algorithm is designed to cancel the force transmitted through the AEM. The stability of the LMS algorithm is guaranteed by using the secondary path transfer function derived on the basis of the dynamic model of the AEM. The performance test in the laboratory shows that the AEM system is capable of significantly reducing the force transmitted through the AEM.


2012 ◽  
Vol 19 (7) ◽  
pp. 1024-1050 ◽  
Author(s):  
Vahid Fakhari ◽  
Abdolreza Ohadi

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