Advances in modeling and vibration control of building structures

Thenozhi, Suresh; Yu, Wen

doi:10.1016/j.arcontrol.2013.09.012

Cited by 89 publications

(41 citation statements)

References 146 publications

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“…However, improved damping performance compared to the passive case may be obtained by combining pure energy dissipating installations with active elements to form so-called active/passive or hybrid damper systems (Thenozhi and Yu, 2013). Hybrid systems have been proposed for base-isolation (Beard et al, 1994;Xiong et al, 2000;Shin et al, 2013) and seismic protection systems (Tzan and Pantelides, 1994;Sener and Utku, 1998;Kurata et al, 1999;Kim and Adeli, 2005).…”

Section: Introductionmentioning

confidence: 99%

Hybrid viscous damper with filtered integral force feedback control

Høgsberg

Brodersen

2014

Journal of Vibration and Control

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Abstract. In hybrid damper systems active control devices are usually introduced to enhance the performance of otherwise passive dampers. In the present paper a hybrid damper concept is comprised of a passive viscous damper placed in series with an active actuator and a force sensor. The actuator motion is controlled by a filtered integral force feedback strategy, where the main feature is the filter, which is designed to render a damper force that in a phase-plane representation operates in front of the corresponding damper velocity. It is demonstrated that in the specific parameter regime where the damper force leads velocity the control is stable and yields a significant improvement in damping performance compared to the pure viscous damper.

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Section: Introductionmentioning

confidence: 99%

Hybrid viscous damper with filtered integral force feedback control

Høgsberg

Brodersen

2014

Journal of Vibration and Control

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“…Several control approaches have been employed to control these systems in the last two decades. [4][5][6][7][8][9][10][11] One of the challenges in the design of active structural control systems is the explicit consideration of uncertainty about the potential variability of future excitations. 12 Input time delay is the other source of uncertainty that can be initiated from actuators' dynamics, processing time, or data delivery time via networks.…”

Section: Introductionmentioning

confidence: 99%

Online control of an active seismic system via reinforcement learning

Khalatbarisoltani

Soleymani

Khodadadi

2018

Struct Control Health Monit

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Summary Tuning the seismic control systems in order to achieve optimal performance is a challenging area due to the system and disturbance uncertainties. Although, model uncertainties, process time delay, and actuator dynamics can be considered as typical uncertainties, the main source of uncertainty in a seismic control system comes from the aleatory nature of earthquake disturbances. In this case, tuning of the control system based on a given seismic record may not necessarily result in optimal performance for other earthquakes. In this paper, a methodological approach is proposed for online control of active structural control systems considering seismic uncertainties. For this purpose, the concept of reinforcement learning is utilized for online tuning of an active mass drive system. The controller comprises a gain‐scheduling fuzzy proportional derivative controller whose gains are tuned via an online reinforcement learning algorithm. Moreover, in order to tackle the time delays, a dynamic state predictor is utilized in conjunction with the proposed controller. To evaluate the performance of proposed controller, according to an assumed site hazard, thousand ground motion records are generated and clustered based on their spectral features using a fuzzy clustering approach. Finally, the controller is implemented in a laboratory‐scale structure, and its performance is examined in the presence of the cluster centers and some real seismic records simulated on a shake table. The test results reveal successful performance of the proposed controller in tackling a wide range of seismic disturbances in the presence of time delay.

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“…Active compensation methods, on the other hand, include various control strategies to dynamically reduce the structural forces caused by the earthquake. Active mass damper has been used in many works for active structural control such as Thenozhi and Yu, Li et al, and Casciati and Chen . Among different active compensators, active tuned mass/damper systems (ATMDs) are used extensively in studies and are implemented on the practical structures .…”

Section: Introductionmentioning

confidence: 99%

Generalized active disturbance rejection control of structures under seismic disturbance considering time delays

Khoshbin

Abolmasoumi

Soleymani

et al. 2017

Struct Control Health Monit

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SummaryThe active disturbance rejection control of a delayed 2-degree-of-freedom structure against earthquake motion force is investigated. A shaking table that resembles the acceleration profiles of most known earthquakes is used to generate the horizontal force. To compensate the motions caused by the earthquake simulator, an active tuned mass and damper system is attached to the structure. Due to the strong effects of the motion forces as a disturbance input, an active disturbance rejection controller including an extended state observer is designed and implemented. The controller designed is modified with including a state predictor to address the control input delays induced by the remote networked control or actuator delays. The stability of the whole system is verified via Lyapunov analysis and tested on the structure sample including shaking table. The results show the effectiveness of the proposed approach to regulate the structure motions in different earthquake scenarios.

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Advances in modeling and vibration control of building structures

Cited by 89 publications

References 146 publications

Hybrid viscous damper with filtered integral force feedback control

Hybrid viscous damper with filtered integral force feedback control

Online control of an active seismic system via reinforcement learning

Generalized active disturbance rejection control of structures under seismic disturbance considering time delays

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