Optimal placement of piezoelectric plates for active vibration control of gas turbine blades: experimental results

2012 ◽  
Author(s):  
F. Botta ◽  
N. Marx ◽  
S. Gentili ◽  
C. W. Schwingshackl ◽  
L. Di Mare ◽  
...  
Keyword(s):  
Vibration Control ◽  
Gas Turbine ◽  
Turbine Blades ◽  
Active Vibration Control ◽  
Experimental Results ◽  
Optimal Placement ◽  
Gas Turbine Blades ◽  
Active Vibration ◽  
Piezoelectric Plates

Optimal Placement of Piezoelectric Sensors and Actuators for Controlled Flexible Linkage Mechanisms

2005 ◽  
Vol 128 (2) ◽  
pp. 256-260 ◽  
Author(s):  
Xianmin Zhang ◽  
Arthur G. Erdman
Keyword(s):  
Vibration Control ◽  
Simulation Analysis ◽  
Active Vibration Control ◽  
Optimal Placement ◽  
Control Effect ◽  
Sensors And Actuators ◽  
Piezoelectric Sensors And Actuators ◽  
Active Vibration ◽  
Flexible Mechanism ◽  
Flexible Linkage

The optimal placement of sensors and actuators in active vibration control of flexible linkage mechanisms is studied. First, the vibration control model of the flexible mechanism is introduced. Second, based on the concept of the controllability and the observability of the controlled subsystem and the residual subsystem, the optimal model is developed aiming at the maximization of the controllability and the observability of the controlled modes and minimization of those of the residual modes. Finally, a numerical example is presented, which shows that the proposed method is feasible. Simulation analysis shows that to achieve the same control effect, the control system is easier to realize if the sensors and actuators are located in the optimal positions.

Two-Level Control Structure of Magnetic Bearings

1993 ◽  
Vol 5 (5) ◽  
pp. 438-442 ◽  
Author(s):  
Nobuyoshi Taguchi ◽  
◽  
Takakazu Ishimatsu ◽  
Takashi Shimomachi ◽  
◽  
...  
Keyword(s):  
Control System ◽  
Vibration Control ◽  
Control Structure ◽  
Active Vibration Control ◽  
Experimental Results ◽  
Magnetic Bearings ◽  
Active Magnetic Bearings ◽  
Level Control ◽  
Whirling Motion ◽  
Active Vibration

Active magnetic bearings have several advantages over conventional mechanical and fluid bearings. However, when the magnetic bearings are used at high rotational speeds, whirling motions and vibrations synchronized with the rotation of the rotor should be considered. In order to suppress these unfavorable vibrations of rotor which is supported by magnetic bearings, we have developed an active vibration control system with a two-level control structure. Experimental results show that our active bearings system effectively suppresses the whirling motion.

Optimal Research of Actuator Placement for Piezoelectric Smart Structure

2009 ◽  
Vol 419-420 ◽  
pp. 173-176
Author(s):  
Wei Yuan Wang ◽  
Kai Xue ◽  
Dong Yan Shi
Keyword(s):  
Vibration Control ◽  
Control Method ◽  
Active Vibration Control ◽  
Element Model ◽  
Smart Structure ◽  
Optimal Placement ◽  
Optimal Method ◽  
Modal Damping ◽  
Active Vibration ◽  
Modal Space

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.

scholarly journals Simultaneous active vibration control and health monitoring of structures. Experimental results

2010 ◽  
Vol 2 (2) ◽  
pp. 118-127 ◽  
Author(s):  
URSU Ioan ◽  
◽  
TECUCEANU George ◽  
TOADER Adrian ◽  
BERAR Vladimir
Keyword(s):  
Vibration Control ◽  
Health Monitoring ◽  
Active Vibration Control ◽  
Experimental Results ◽  
Active Vibration

Active Vibration Control of a Space Truss Using PZT Stack Actuator

1999 ◽  
Author(s):  
Gangbing Song ◽  
John Vlattas ◽  
Scott E. Johnson ◽  
Brij N. Agrawal
Keyword(s):  
Vibration Control ◽  
Piezoelectric Ceramic ◽  
Proof Mass ◽  
Active Vibration Control ◽  
Force Transducer ◽  
Experimental Results ◽  
Naval Postgraduate School ◽  
Double Integral ◽  
Space Truss ◽  
Active Vibration

Abstract This paper presents design, implementation and experimental results of active vibration control of Naval Postgraduate School (NPS) Space Truss using a piezoelectric ceramic stack actuator. The NPS space truss represents a flexible spacecraft structure which may support interferometer, antenna, and other vibration-sensitive instrumentation. To simulate the effects of a spacecraft disturbance on the truss, a proof mass actuator is incorporated on the structure to excite the truss. To reduce the vibrations caused by the proof mass actuator, an active strut member is installed along a diagonal of the base bay of the truss. The active strut element consists of a piezoelectric ceramic actuator stack, a force transducer, and mechanical interfaces. An integral plus double-integral force controller is designed to suppress vibration of the truss. Experimental results demonstrate that the active piezoceramic strut actuator can effective reduce truss vibration.

Optimal placement and active vibration control for piezoelectric smart flexible cantilever plate

2007 ◽  
Vol 301 (3-5) ◽  
pp. 521-543 ◽  
Author(s):  
Zhi-cheng Qiu ◽  
Xian-min Zhang ◽  
Hong-xin Wu ◽  
Hong-hua Zhang
Keyword(s):  
Vibration Control ◽  
Active Vibration Control ◽  
Optimal Placement ◽  
Cantilever Plate ◽  
Active Vibration

Analysis and implementation of MIMO FULMS algorithm for active vibration control

2011 ◽  
Vol 34 (7) ◽  
pp. 815-828 ◽  
Author(s):  
Xiaojin Zhu ◽  
Zhiyuan Gao ◽  
Quanzhen Huang ◽  
Shouwei Gao ◽  
Enyu Jiang
Keyword(s):  
Vibration Control ◽  
Lead Zirconate Titanate ◽  
Vibration Suppression ◽  
Active Vibration Control ◽  
Reference Signal ◽  
Optimal Placement ◽  
Mean Square ◽  
Least Mean Square ◽  
Active Vibration ◽  
Simulation Results

This correspondence focuses on the analysis and implementation of multi-input multi-output (MIMO) filtered-u least mean square (FULMS) algorithm for active vibration suppression of a cantilever smart beam with surface bonded lead zirconate titanate patches. By analysing a single-input single-output FULMS algorithm, the MIMO FULMS controller structure is given. Then an active vibration control experimental platform is established, with optimal placement of the actuators and sensors based on the maximal modal force rule. Simulation contrast analysis of FULMS algorithm and the most famous filtered-x least mean square (FXLMS) algorithm is performed while the reference signal is extracted from the exciter as well as directly from the controlled structure. Simulation results show that if the feedback information reflects the reference signal collected by the reference transducers, the FXLMS controller could hardly suppress the vibration while the FULMS controller is still effective. Then the actual control experiment is performed, and the result confirms the simulation results. The designed MIMO FULMS vibration controller has a good control performance, suppressing the vibration significantly with rapid convergence.

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