Active vibration control of plate by active mass damper and negative acceleration feedback control algorithms

The study aims to assess the impact of shear walls on active vibration control of the buildings. It has evaluated the design of a smart 20-story building equipped with an Active Mass Damper to mitigate earthquakes. The design has combined shear walls with an Active Mass Damper (AMD) added on the top floor. The control configuration used a force actuator combined with a displacement sensor and was examined with Direct Velocity Feedback. The effect of the presence of wall braces in the design of tall buildings on the performances as well as the control effort has been studied. The results have stated that the shear walls designed for mitigating earthquake loads are capable of reducing the displacement of the tall building somewhat but failed to reduce the acceleration of the top floor. The combination between shear walls and AMD has incredible damping capability on the displacement and acceleration of the building. However, the shear walls tend to increase the control cost since they require more control energy.

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

Journal of Vibration and Acoustics ◽

10.1115/1.4038955 ◽

2018 ◽

Vol 140 (4) ◽

Cited By ~ 3

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.

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Active Damping by Acceleration Feedback Control and Redistribution of Stresses in the Structure

10.1115/imece1999-0565 ◽

1999 ◽

Author(s):

Maxime P. Bayon de Noyer ◽

Patrick J. Roberts ◽

Sathya V. Hanagud

Keyword(s):

Control System ◽

Feedback Control ◽

Vibration Control ◽

Closed Loop ◽

Driving Forces ◽

Active Vibration Control ◽

High Stress ◽

Low Frequency ◽

Acceleration Feedback ◽

Active Vibration

Abstract In most structures, fatigue critical areas are associated with regions of high stresses. Passive stiffening of structures usually displaces these high stress regions. Thus, for most applications, active vibration control is preferred. However, the question of whether an active vibration control scheme involving a set of actuators will reduce stresses in the whole structure or create high stress areas in the vicinity of the actuators arises. In this paper, the stresses induced by an active vibration control system based on the use of an offset piezoceramic stack actuator with acceleration feedback control are investigated. Using a modal analysis of the actuator acting on a cantilever beam, a low frequency approximation of the actuator is developed in the form of a spring and two driving forces. Based on this approximation, a 3-D finite element simulation of the closed loop active vibration control system is developed and the closed loop stresses are studied.

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Active vibration control of beam structures using acceleration feedback control with piezoceramic actuators

Journal of Sound and Vibration ◽

10.1016/j.jsv.2011.11.004 ◽

2012 ◽

Vol 331 (6) ◽

pp. 1257-1269 ◽

Cited By ~ 4

Author(s):

Changjoo Shin ◽

Chinsuk Hong ◽

Weui Bong Jeong

Keyword(s):

Feedback Control ◽

Vibration Control ◽

Active Vibration Control ◽

Beam Structures ◽

Acceleration Feedback ◽

Active Vibration

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Frequency Shaped Semi-Active Control for Magnetorheological Fluid-Based Vibration Control Systems

Volume 1: Development and Characterization of Multifunctional Materials; Modeling, Simulation and Control of Adaptive Systems; Integrated System Design and Implementation ◽

10.1115/smasis2013-3268 ◽

2013 ◽

Author(s):

Young-Tai Choi ◽

Norman M. Wereley ◽

Gregory J. Hiemenz

Keyword(s):

Vibration Control ◽

Control Systems ◽

Active Control ◽

Control Algorithm ◽

Active Vibration Control ◽

Control Algorithms ◽

Model Parameters ◽

Mr Fluid ◽

Control Current ◽

Active Vibration

Novel semi-active vibration controllers are developed in this study for magnetorheological (MR) fluid-based vibration control systems, including: (1) a band-pass frequency shaped semi-active control algorithm, (2) a narrow-band frequency shaped semi-active control algorithm. These semi-active vibration control algorithms designed without resorting to the implementation of an active vibration control algorithms upon which is superposed the energy dissipation constraint. These new Frequency Shaped Semi-active Control (FSSC) algorithms require neither an accurate damper (or actuator) model, nor system identification of damper model parameters for determining control current input. In the design procedure for the FSSC algorithms, the semi-active MR damper is not treated as an active force producing actuator, but rather is treated in the design process as a semi-active dissipative device. The control signal from the FSSC algorithms is a control current, and not a control force as is typically done for active controllers. In this study, two FSSC algorithms are formulated and performance of each is assessed via simulation. Performance of the FSSC vibration controllers is evaluated using a single-degree-of-freedom (DOF) MR fluid-based engine mount system. To better understand the control characteristics and advantages of the two FSSC algorithms, the vibration mitigation performance of a semi-active skyhook control algorithm, which is the classical semi-active controller used in base excitation problems, is compared to the two FSSC algorithms.

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