Comparison of discrete-time sliding mode control algorithms for seismic control of buildings with magnetorheological fluid dampers

Kemerli, Muaz; Şahin, Özge; Yazıcı, İrfan; Çağlar, Naci; Engin, Tahsin

doi:10.1177/10775463211070062

Cited by 5 publications

(3 citation statements)

References 38 publications

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“…The magnetorheological damper (MRD) is one of the typical representatives of semi-active dampers, and it can control the magnitude of magnetic induction through the external excitation current, thereby adjusting the dynamic shear yield stress of magnetorheological fluid (MRF), so as to achieve the effect of tunable damping characteristics. Due to its fast response speed and low power consumption [3][4][5][6], it has been extensively used in low-frequency vibration fields, such as automotive suspension [7][8][9][10][11], buildings [12][13][14][15][16], bridges [17][18][19][20], prosthetics [21][22][23][24][25], etc.…”

Section: Introductionmentioning

confidence: 99%

Dual-stage theoretical model of magnetorheological dampers and experimental verification

Lei,

Li,

Zhou

et al. 2024

Smart Mater. Struct.

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The theoretical model for predicting the damping characteristics of magnetorheological dampers (MRDs) not only facilitates the optimization of MRD parameters, but also provides assistance for the theoretical design of MRDs. However, some existing models have limitations in fully characterizing the damping characteristics of MRDs. In this paper, the workingstageof MRDs was categorized into yield and pre-yield stages based on whether the internal magnetorheological fluid (MRF) attains the dynamic shear yield state or not, and the Herschel-Bulkley model with pre-yield viscosity(HBPV) and improved polynomial model (IPOL) were employed to respectively characterize the yield and pre-yield stages of MRDs. Subsequently, the HBPV-IPOL model was proposed to characterize the complete damping characteristics of MRDs in low-frequency vibration conditions, with considering the local loss effect of the fluid in the model. To accurately characterize the magnetic induction intensity in the MRD damping channel, employing the steady-state finite element method (FEM) for magnetic field analysis; on this basis, dividing the damping channel to investigate the variation trends of the magnetic induction intensity in different regions. Simultaneously, the zero-field region hypothesis was proposed to quantitatively consider the influence of minute magnetic induction intensity in the traditional zero-field regions on the damping characteristics of MRDs. Finally, integrating the impact trends of currents in different regions, and employing the HBPV model to determine the impact magnitude of each region within the damping channel on the damping characteristics of the MRD in the yield stage. In the pre-yield stage, Polynomial curves were fitted to experimental damping force-velocity curves, and the obtained polynomials were employed to predict the damping characteristics. Extensive experiments have been conducted on MRD samples to assess the predictive performance of the model on MRD damping characteristics under sinusoidal displacement excitation vibration conditions with different excitation currents, vibration frequencies and vibration amplitudes.

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Section: Introductionmentioning

confidence: 99%

Dual-stage theoretical model of magnetorheological dampers and experimental verification

Lei,

Li,

Zhou

et al. 2024

Smart Mater. Struct.

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“…However, passive systems are not controllable and cannot adapt to the changes that happen to the structures [6][7][8][9][10]. As a result, smart systems have been suggested in response to the shortcomings of passive vibration control systems to adjust dynamic structural properties such as mass and stiffness [11][12][13][14][15]. Smart systems are developed by using sensors, actuators, signal processors, and power sources.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Control Methodology for Smart Highway Bridge Structures Using Optimal Replicator Dynamic Controller

Momeni

Bagchi²

2023

Civ Eng J

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Control algorithms are an essential part of effective semi-active vibration control systems used for the protection of large structures under dynamic loading. Adaptive control algorithms, which are data-driven methods, have recently been developed to replace model-based control algorithms, thus improving efficiency. The dynamic parameters of semi-actively controlled infrastructures will change after significant vibration loading. As a result, these structures require real-time, effective control actions in response to changing conditions, which classical controllers are unable to provide. To improve the efficiency of the semi-active controller, the optimal control algorithm was developed in this study. The algorithm is the integration of the replicator dynamics with an improved non-dominated sorting genetic algorithm (NSGA), which is NSGA-II. The optimal parameters of replicator dynamics (total resources, growth rate, and fitness function), which represent the behavior of the actuators, were obtained through a multi-objective optimization process. The new control system was then used to reduce the vibrations of the isolated highway bridge, which is equipped with semi-active control devices known as MR dampers. Moreover, the current study improved the performance of the structural control system with minimum energy consumption by assigning a specific growth rate to each control device. In order to reduce the vibrations of the highway bridge, the results show that the performance of the optimal replicator controller is better than the performance of the classical control algorithms. Doi: 10.28991/CEJ-2023-09-01-01 Full Text: PDF

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“…Paul et al [8] proposed a novel discretetime sliding mode control in order to attenuate the bidirectional vibrations of building structures, comparing the fuzzy sliding mode control with conventional controllers, which was found to be the most effective in mitigating bidirectional and torsional vibrations. Kemerli et al [9] proposed the design and implementation of the discretetime sliding mode controller with a hybrid control strategy according to Gao's reaching law and variable rate reaching law and conducted simulated experiments with a 5-story building under seismic excitation; the results show that better results were achieved in terms of controller energy consumption and structural response compared to Gao's controller. Demir et al [10] studied a method to stabilize the static output feedback (SOF) of a discrete-time linear timeinvariant (LTI) system by using a small number of sensors.…”

Section: Introductionmentioning

confidence: 99%

Overlapping Decentralized Guaranteed Cost Control Method for Discrete-Time Systems of Building Structures with Uncertain Parameters under Earthquake Action

Zhen

Man

et al. 2022

Mathematical Problems in Engineering

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This paper proposes a discrete-time overlapping decentralized guaranteed cost control algorithm via state feedback. Based on the inclusion principle, a structure system is decoupled into multiple subsystems, and the discretized subsystems’ controllers are designed by using the guaranteed cost control algorithm. Finally, the subsystems’ controllers are contracted into overlapping controllers of the original system, and the design of the control system is completed. This control method is introduced to the civil engineering field to solve the seismic control problem for discrete-time systems of building structures with uncertain parameters. The numerical analysis of the nine-story building structure model with uncertain parameters is carried out. The results show that the proposed control method can still effectively reduce the seismic response of discrete-time system when the structural parameters are uncertain, and the control effect is similar to the centralized control strategy; at the same time, the sampling rate and data transmission speed of the system are improved to ensure the reliability of the system. It illustrates the feasibility and effectiveness of the presented approach.

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Comparison of discrete-time sliding mode control algorithms for seismic control of buildings with magnetorheological fluid dampers

Cited by 5 publications

References 38 publications

Dual-stage theoretical model of magnetorheological dampers and experimental verification

Dual-stage theoretical model of magnetorheological dampers and experimental verification

Intelligent Control Methodology for Smart Highway Bridge Structures Using Optimal Replicator Dynamic Controller

Overlapping Decentralized Guaranteed Cost Control Method for Discrete-Time Systems of Building Structures with Uncertain Parameters under Earthquake Action

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