Performance Evaluation of Optimized Piezoelectric Smart Structure for Active Vibration Control

Author(s):  
Biswaranjan Swain ◽  
J. Halder ◽  
N. Swain ◽  
D. Patnaik ◽  
Praveen P. Nayak ◽  
...  
2018 ◽  
Vol 51 (25) ◽  
pp. 441-446
Author(s):  
Peng Wang ◽  
Gerard Scorletti ◽  
Anton Korniienko ◽  
Manuel Collet

2017 ◽  
Vol 28 (18) ◽  
pp. 2603-2616 ◽  
Author(s):  
Asif Khan ◽  
Hyun Sung Lee ◽  
Heung Soo Kim

In this article, the effect of a sensor-debonding failure on the active vibration control of a smart composite plate is investigated numerically. A mathematical model of the smart structure with a partially debonded piezoelectric sensor is developed using an improved layerwise theory, a higher-order electric-potential field that serves as the displacement field, and the potential variation through the piezoelectric patches. A state-space form that is based on the reduced-order model is employed for the controller design. A control strategy with a constant gain and velocity feedback is used to assess the vibration-control characteristics of the controller in the presence of the sensor-debonding failure. The obtained results show that sensor-debonding failure reduces the sensor-output, control-input signal, and active damping in magnitude that successively degrades the vibration attenuation capability of the active vibration controller. The settling time and relative tip displacement of the controlled structure increase with the increasing length of partial debonding between the piezoelectric sensor and host structure. Furthermore, a damage-sensitive feature along with multidimensional scaling showed excellent results for the detection and quantification of sensor-debonding failure in the active vibration control of smart structures.


1997 ◽  
Author(s):  
Takayoshi Kamada ◽  
Takafumi Fujita ◽  
Takayoshi Hatayama ◽  
Takeo Arikabe ◽  
Nobuyoshi Murai ◽  
...  

2001 ◽  
Vol 67 (656) ◽  
pp. 985-991 ◽  
Author(s):  
Mamoru SHIMAZAKI ◽  
Takafumi FUJITA ◽  
Takayoshi HATAKEYAMA ◽  
Takeo ARIKABE ◽  
Nobuyoshi MURAI ◽  
...  

2009 ◽  
Vol 419-420 ◽  
pp. 173-176
Author(s):  
Wei Yuan Wang ◽  
Kai Xue ◽  
Dong Yan Shi

The purpose of this paper is to investigate the optimal placement of piezoelectric actuator for active vibration control of smart structure. The structures can be described in the modal space based on the independent modal space control method and dynamic equations derived from finite element model. The modal damping ratios are derived from modal equations and an optimal target is given by maximizing the modal damping ratios. Accumulation method is adopted to the optimization calculation. Simulations are carried out for active vibration control of a conical shell with distributed piezoelectric actuators. Control effects proved the validity of the optimal method above by compared with the non-optimal results. The optimal method in this paper gives a useful guide for quantity optimization of actuators to piezoelectric structures.


2018 ◽  
Vol 24 (11) ◽  
pp. 1
Author(s):  
Hadeer Abd UL-Qader Mohammed ◽  
Hatem Rahem Wasmi

Many of mechanical systems are exposed to undesired vibrations, so designing an active vibration control (AVC) system is important in engineering decisions to reduce this vibration. Smart structure technology is used for vibration reduction. Therefore, the cantilever beam is embedded by a piezoelectric (PZT) as an actuator. The optimal LQR controller is designed that reduce the vibration of the smart beam by using a PZT element.   In this study the main part is to change the length of the aluminum cantilever beam, so keep the control gains, the excitation, the actuation voltage, and mechanical properties of the aluminum beam for each length of the smart cantilever beam and observe the behavior and effect of changing the length of the smart cantilever beam. A cantilever beam with piezoelectric is modeled in Mechanical APDL ANSYS version 15.0 and verified this by using experimental work. The AVC was tested on a smart beam under different control gains in experimental work and chose the best control gain depending on FEM results for each length of the smart beam. The response of the smart beam is noticed to be different for every length and the reduction percentage for settling time was different for every length.  


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