Reduction in Size and Weight of an Active Mass Damper for Base Vibration Suppression of Industrial Machines

2016 ◽  
Vol 136 (5) ◽  
pp. 319-327
Author(s):  
Tetsuaki Nagano ◽  
Jun Ishikawa
Keyword(s):  
Vibration Suppression ◽  
Active Mass ◽  
Mass Damper ◽  
Active Mass Damper

scholarly journals Simulating Displacement and Velocity Signals by Piezoelectric Sensor in Vibration Control Applications

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
G. J. Sheu ◽  
S. M. Yang ◽  
W. L. Huang
Keyword(s):  
Vibration Control ◽  
Vibration Suppression ◽  
Piezoelectric Sensor ◽  
Smart Structure ◽  
Velocity Signal ◽  
Active Mass ◽  
Mass Damper ◽  
Active Mass Damper ◽  
Physical Geometry ◽  
Neural Sensor

Intelligent structures with built-in piezoelectric sensor and actuator that can actively change their physical geometry and/or properties have been known preferable in vibration control. However, it is often arguable to determine if measurement of piezoelectric sensor is strain rate, displacement, or velocity signal. This paper presents a neural sensor design to simulate the sensor dynamics. An artificial neural network with error backpropagation algorithm is developed such that the embedded and attached piezoelectric sensor can faithfully measure the displacement and velocity without any signal conditioning circuitry. Experimental verification shows that the neural sensor is effective to vibration suppression of a smart structure by embedded sensor/actuator and a building structure by surface-attached piezoelectric sensor and active mass damper.

Seismic Response Controlled Structure With Semi-Active Mass-Damper

2008 ◽  
Author(s):  
Fan Yang ◽  
Ramin Sedaghati ◽  
Ebrahim Esmailzadeh
Keyword(s):  
Vibration Suppression ◽  
Mr Damper ◽  
Friction Model ◽  
Structural Vibration ◽  
Active Mass ◽  
Lugre Friction Model ◽  
Mass Damper ◽  
Active Mass Damper ◽  
Controlled Structure ◽  
Magneto Rheological

The structural vibration suppression using active and semi-active mass damper is investigated. The controller for full-active controlled mass dampers is designed using the H2/LQG method. Magneto-Rheological (MR) damper is used to design the semi-active controlled mass damper. The inverse MR-damper model is developed on the base of an improved LuGre friction model. It combined with the proposed H2/LQG controller to control the input current of the MR-damper to suppress the structural vibration efficiently. The illustrated examples are presented to compare the vibration suppression effectiveness of semi-active mass damper with MR-damper using the proposed controller with those reported in literatures in order to illustrate the validity of the proposed methodology.

Optimal Vibration Suppression of Structures Under Random Base Excitation Using Semi-Active Mass Damper

2010 ◽  
Vol 132 (4) ◽  
Author(s):  
F. Yang ◽  
E. Esmailzadeh ◽  
R. Sedaghati
Keyword(s):  
Vibration Suppression ◽  
Mr Damper ◽  
Friction Model ◽  
Structural Vibration ◽  
Linear Quadratic ◽  
Active Mass ◽  
Lugre Friction Model ◽  
Mass Damper ◽  
Active Mass Damper ◽  
Control Methodology

The vibration suppression of structures using a semi-active mass damper is investigated in this study. A magnetorheological (MR)-damper is utilized to design the semi-actively controlled mass damper. The inverse MR-damper model is developed on the basis of an improved LuGre friction model, and combined with a designed H2/Linear-Quadratic-Gaussian (H2/LQG) controller, in order to control the command current of the MR-damper to suppress structural vibration levels effectively. Illustrated examples are considered to investigate the vibration suppression effectiveness of a semi-active mass damper with a MR-damper, using the developed control methodology. The simulation results were compared with those reported in literature in order to validate the presented methodology.

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