Multi-Objective Optimal Design on Vibration Suppression of Building Structures with Active Mass Damper Based on State Difference Feedback

2018 ◽  
Author(s):  
Yuan Guang Zheng ◽  
Xing Xing Hu
Keyword(s):  
Optimal Design ◽  
Vibration Suppression ◽  
Building Structures ◽  
Active Mass ◽  
Multi Objective ◽  
Mass Damper ◽  
Active Mass Damper ◽  
State Difference

Building Vibration Control by Active Mass Damper With Delayed Acceleration Feedback: Multi-Objective Optimal Design and Experimental Validation

2018 ◽  
Vol 140 (4) ◽  
Author(s):  
Yuan-Guang Zheng ◽  
Jing-Wen Huang ◽  
Ya-Hui Sun ◽  
Jian-Qiao Sun
Keyword(s):  
Time Delay ◽  
Vibration Control ◽  
Stable Region ◽  
Numerical Code ◽  
Total Power ◽  
Active Mass ◽  
Multi Objective ◽  
Mass Damper ◽  
Active Mass Damper ◽  
Acceleration Feedback

The building structural vibration control by an active mass damper (AMD) with delayed acceleration feedback is studied. The control is designed with a multi-objective optimal approach. The stable region in a parameter space of the control gain and time delay is obtained by using the method of stability switch and the numerical code of NDDEBIFTOOL. The control objectives include the setting time, total power consumption, peak time, and the maximum power. The multi-objective optimization problem (MOP) for the control design is solved with the simple cell mapping (SCM) method. The Pareto set and Pareto front are found to consist of two clusters. The first cluster has negative feedback gains, i.e., the positive acceleration feedback. We have shown that a proper time delay can enhance the vibration suppression with controls from the first cluster. The second cluster has positive feedback gains and is located in the region which is sensitive to time delay. A small time delay will deteriorate the control performance in this cluster. Numerical simulations and experiments are carried out to demonstrate the analytical findings.

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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