Sliding mode fault detection and fault-tolerant control of smart dampers in semi-active control of building structures

Fallah, Arash Yeganeh; Taghikhany, Touraj

doi:10.1088/0964-1726/24/12/125030

Cited by 21 publications

(22 citation statements)

References 47 publications

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“…In this study, the simple Bouc‐Wen model shown in Figure is used to accurately predict the behavior of a shear‐mode MR damper over a wide range of inputs . The equations governing force f predicted by this model are as follows():

f = c_{0} \overset{x}{true} + α z

\overset{z}{true} = - normalγ (||, \dot{x}) z {|z|}^{n - 1} - normalβ \overset{x}{true} {|z|}^{n} + A \overset{x}{true},

…”

Section: Numerical Modeling Of Mr Dampersmentioning

confidence: 99%

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Online self‐tuning mechanism for direct adaptive control of tall building

Hosseini

Taghikhany

2017

Adaptive Control & Signal

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to the control system has completely different characteristics than the initial designed seismic excitation. KEYWORDS adaptive control, ANFIS, fuzzy inference system, MR damper, SAC, semiactive control 424 TABLE 6 Evaluation criteria comparison of different designed fuzzy inference systems Kobe J 1 J 2 J 3 J ave 3-Layer 0.7836 0.5857 0.7897 0.7196 5-Layer 0.7749 0.5784 0.8027 0.7187 7-Layer 0.7676 0.5713 0.8154 0.7181 El Centro J 1 J 2 J 3 J ave 3-Layer 0.7841 0.7502 0.9396 0.8246 5-Layer 0.7504 0.733 0.9268 0.8034 7-Layer 0.7088 0.7147 0.936 0.7865

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f = c_{0} \overset{x}{true} + α z

\overset{z}{true} = - normalγ (||, \dot{x}) z {|z|}^{n - 1} - normalβ \overset{x}{true} {|z|}^{n} + A \overset{x}{true},

…”

Section: Numerical Modeling Of Mr Dampersmentioning

confidence: 99%

“…The model parameters depend on voltage v to the current driver as follows():

normalα = α_{a} + α_{b} u

c_{0} = c_{0 a} + c_{0 b} u,

…”

Section: Numerical Modeling Of Mr Dampersmentioning

confidence: 99%

Online self‐tuning mechanism for direct adaptive control of tall building

Hosseini

Taghikhany

2017

Adaptive Control & Signal

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“…Traditional building base-isolation systems are designed to shift the structural resonant frequencies to a range that is well below the frequencies of ground motions during earthquakes [1,2]. To ensure a significant reduction of vibration transmitted to a building over the isolation range which covers the frequencies of the estimated earthquake ground motions, low horizontal-stiffness bearings are fitted into the isolation layer of the building.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear damping based semi-active building isolation system

Zhu

Lang

et al. 2018

Journal of Sound and Vibration

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Many buildings in Japan currently have a base-isolation system with a low stiffness that is designed to shift the natural frequency of the building below the frequencies of the ground motion due to earthquakes. However, the ground motion observed during the 2011 Tohoku earthquake contained strong long-period waves that lasted for a record length of three minutes. To provide a novel and better solution against the long-period waves while maintaining the performance of the standard isolation range, the exploitation of the characteristics of nonlinear damping is proposed in this paper. This is motivated by previous studies of the authors, which have demonstrated that nonlinear damping can achieve desired performance over both low and high frequency regions and the optimal nonlinear damping force can be realized by closed loop controlled semi-active dampers. Simulation results have shown strong vibration isolation performance on a building model with identified parameters and have indicated that nonlinear damping can achieve low acceleration transmissibilities round the structural natural frequency as well as the higher ground motion frequencies that have been frequently observed during most earthquakes in Japan. In addition, physical building model based laboratory experiments are also conducted, The results demonstrate the advantages of the proposed nonlinear damping technologies over both traditional linear damping and more advanced Linear-Quadratic Gaussian (LQG) feedback control which have been used in practice to address building isolation system design and implementation problems. In comparison with the tuned-mass damper and other active control methods, the proposed solution offers a more pragmatic, low-cost, robust and effective alternative that can be readily installed into the base-isolation system of most buildings.

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“…A control system usually refers to control algorithms (e.g., active control, semi‐active control, hybrid control, and passive control) and the corresponding controlling devices (e.g., semi‐control hydraulic dampers and active‐control piezoelectric actuators). Among various control algorithms, semi‐active control systems exhibit their attractive characteristics, including less power, higher reliability, and particularly higher adaptability for earthquake events, as compared to their counterparts . As a result, semi‐active control systems and the associated devices have played an important role in structural vibration controls and mitigations.…”

Section: Introductionmentioning

confidence: 99%

“…Among various control algorithms, semi-active control systems exhibit their attractive characteristics, including less power, higher reliability, and particularly higher adaptability for earthquake events, as compared to their counterparts. [25,26,[28][29][30][31] As a result, semi-active control systems and the associated devices have played an important role in structural vibration controls and mitigations.…”

Section: Introductionmentioning

confidence: 99%

Improved semi-active control algorithm for hydraulic damper-based braced buildings

Azimi

Rasoulnia

Lin

et al. 2017

Struct Control Health Monit

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Summary Much research has been conducted on structural control systems to improve the seismic performance of structures under earthquakes and, ultimately, offer high performance‐resilient buildings beyond life risk mitigation. Among various structural control algorithms, semi‐active control strategies have been widely accepted for overcoming some limitations existed in either passive or active control systems, thereby leading to better structural performance over their counterparts. In this study, a new semi‐active control algorithm with minimum control parameters is developed to drive the hydraulic damper for effective control of the dynamic deformation of low‐ and high‐rise building structures under earthquake loadings. The new controller allows less input and computation for determining the damping coefficient of the hydraulic dampers while maintaining a higher performance. V‐braced buildings with three varying heights are used as prototypes to demonstrate the effectiveness of the proposed semi‐active damper. Two critical parameters, maximum drift and acceleration of stories, are defined for the performance criteria. The simulation results show that the developed semi‐active damper can significantly improve the seismic performance of the buildings in terms of controlled story drift and acceleration. By use of less input and reduced time delay effects, the proposed control system is comparable with those of existing semi‐active controllers. The findings in this study will help engineers to design control systems for seismic risk mitigation and effectively facilitate the performance‐based seismic design.

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Sliding mode fault detection and fault-tolerant control of smart dampers in semi-active control of building structures

Cited by 21 publications

References 47 publications

Online self‐tuning mechanism for direct adaptive control of tall building

Online self‐tuning mechanism for direct adaptive control of tall building

Nonlinear damping based semi-active building isolation system

Improved semi-active control algorithm for hydraulic damper-based braced buildings

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