Optimal stochastic compensator for time-delayed active structural control systems subjected to random excitations

Control algorithms for semi-active structural control system found in the scientific literature often rely on the choice of several parameters included in the control law. The present paper shows the preliminary conclusions of a study aiming to explain the weak dependency of the response reduction associated to semi-active control systems on the particular choice of the control algorithm adopted, provided that the relevant parameters of any control law be properly tuned.

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Modeling and verifying active structural control systems

Science of Computer Programming ◽

10.1016/s0167-6423(96)00031-7 ◽

1997 ◽

Vol 29 (1-2) ◽

pp. 99-122 ◽

Cited By ~ 12

Author(s):

Wael M. Elseaidy ◽

Rance Cleaveland ◽

John W. Baugh

Keyword(s):

Control Systems ◽

Structural Control ◽

Active Structural Control

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A Novel Data Utilization and Control Strategy for Wireless Structural Control Systems with TDMA Network

Computing in Civil Engineering ◽

10.1061/9780784413029.005 ◽

2013 ◽

Cited By ~ 4

Author(s):

Z. Sun ◽

B. Li ◽

S. J. Dyke ◽

C. Lu

Keyword(s):

Control Systems ◽

Control Strategy ◽

Structural Control ◽

Data Utilization ◽

And Control

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Parametric Study of Damping Characteristics of Magneto-Rheological Damper: Mathematical and Experimental Approach

Pollack Periodica ◽

10.1556/606.2020.15.3.4 ◽

2020 ◽

Vol 15 (3) ◽

pp. 37-48

Author(s):

Zubair Rashid Wani ◽

Manzoor Ahmad Tantray

Keyword(s):

Structural Control ◽

Research Work ◽

Testing Machine ◽

Input Voltage ◽

Damping Coefficient ◽

Control Technique ◽

Damping Force ◽

Active Devices ◽

Active Structural Control ◽

Magneto Rheological

The present research work is a part of a project was a semi-active structural control technique using magneto-rheological damper has to be performed. Magneto-rheological dampers are an innovative class of semi-active devices that mesh well with the demands and constraints of seismic applications; this includes having very low power requirements and adaptability. A small stroke magneto-rheological damper was mathematically simulated and experimentally tested. The damper was subjected to periodic excitations of different amplitudes and frequencies at varying voltage. The damper was mathematically modeled using parametric Modified Bouc-Wen model of magneto-rheological damper in MATLAB/SIMULINK and the parameters of the model were set as per the prototype available. The variation of mechanical properties of magneto-rheological damper like damping coefficient and damping force with a change in amplitude, frequency and voltage were experimentally verified on INSTRON 8800 testing machine. It was observed that damping force produced by the damper depended on the frequency as well, in addition to the input voltage and amplitude of the excitation. While the damping coefficient (c) is independent of the frequency of excitation it varies with the amplitude of excitation and input voltage. The variation of the damping coefficient with amplitude and input voltage is linear and quadratic respectively. More ever the mathematical model simulated in MATLAB was in agreement with the experimental results obtained.

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Modified LQG/LTR Control Methodology in Active Structural Control

Journal of Low Frequency Noise Vibration and Active Control ◽

10.1260/026309203322770347 ◽

2003 ◽

Vol 22 (2) ◽

pp. 97-108 ◽

Cited By ~ 1

Author(s):

Yan Sheng ◽

Chao Wang ◽

Ying Pan ◽

Xinhua Zhang

Keyword(s):

Structural Control ◽

Signal To Noise Ratio ◽

Open Loop ◽

Control Force ◽

Linear Quadratic ◽

Linear Quadratic Gaussian ◽

Control Approach ◽

Active Structural Control ◽

Loop Transfer Recovery ◽

Control Methodology

This paper presents a new active structural control design methodology comparing the conventional linear-quadratic-Gaussian synthesis with a loop-transfer-recovery (LQG/LTR) control approach for structures subjected to ground excitations. It results in an open-loop stable controller. Also the closed-loop stability can be guaranteed. More importantly, the value of the controller's gain required for a given degree of LTR is orders of magnitude less than what is required in the conventional LQG/LTR approach. Additionally, for the same value of gain, the proposed controller achieves a much better degree of recovery than the LQG/LTR-based controller. Once this controller is obtained, the problems of control force saturation are either eliminated or at least dampened, and the controller band-width is reduced and consequently the control signal to noise ratio at the input point of the dynamic system is increased. Finally, numerical examples illustrate the above advantages.

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Application of Structural Control Systems for the Cables of Cable-Stayed Bridges: State-of-the-Art and State-of-the-Practice

Archives of Computational Methods in Engineering ◽

10.1007/s11831-021-09632-4 ◽

2021 ◽

Author(s):

Ahad Javanmardi ◽

Khaled Ghaedi ◽

Fuyun Huang ◽

Muhammad Usman Hanif ◽

Alireza Tabrizikahou

Keyword(s):

Control Systems ◽

Structural Control ◽

State Of The Art ◽

Art And State ◽

Cable Stayed Bridges

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Modified sliding mode control of a seismic active mass damper system considering model uncertainties and input time delay

Journal of Vibration and Control ◽

10.1177/1077546316657477 ◽

2016 ◽

Vol 24 (6) ◽

pp. 1051-1064 ◽

Cited By ~ 10

Author(s):

Mehdi Soleymani ◽

Amir Hossein Abolmasoumi ◽

Hasanali Bahrami ◽

Arash Khalatbari-S ◽

Elham Khoshbin ◽

...

Keyword(s):

Structural Control ◽

Sliding Mode ◽

Test Structure ◽

Dynamic State ◽

Shake Table ◽

Model Uncertainties ◽

Actuator Dynamics ◽

Active Structural Control ◽

Mass Damper ◽

Active Mass Damper

Model uncertainties and actuator delays are two factors that degrade the performance of active structural control systems. A new robust control system is proposed for control of an active tuned mass damper (AMD) in a high-rise building. The controller comprises a two-loop sliding model controller in conjunction with a dynamic state predictor. The sliding model controller is responsible for model uncertainties and the state predictor compensates for the time delays due to actuator dynamics and process delay. A reduced model that is validated against experimental data was constructed and equipped with an electro-mechanical AMD system mounted on the top storey. The proposed controller was implemented in the test structure and its performance under seismic disturbances was simulated using a seismic shake table. Moreover, robustness of the proposed controller was examined via variation of the test structure parameters. The shake table test results reveal the effectiveness of the proposed controller at tackling the simulated disturbances in the presence of model uncertainties and input delay.

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