Integrated intelligent control analysis on semi-active structures by using magnetorheological dampers

Xu, Zhao‐Dong; Guo, Yingqing

doi:10.1007/s11431-008-0209-3

Cited by 13 publications

(6 citation statements)

References 17 publications

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“…Besides the conventional active or semi-active control system, such as AMD (active mass damper system), AVS (active variable stiffness system), ADV (active variable damper system) and so on, magneticrheological (MR) fluid damper is a kind of semi-active control system, which attracts many scholars as a new hot field. A fuzzy controller was used to solve the instantaneous parameter selection problem, and time lag effect was figured out by neural network [18]. The dynamics analysis and experiment on the fishtailing type of valveless piezoelectric pump with rectangular vibrator were carried out [19].…”

Section: Disaster Prevention Strategies Researchmentioning

confidence: 99%

Recent researches on disaster prevention and mitigation in civil engineering

2011

Sci. China Technol. Sci.

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Disaster prevention and mitigation for civil engineering structures is an important research field. It involves disaster field forming mechanism, disaster dynamic responses and collapse analysis, disaster prevention and mitigation strategies, and so on. The recent researches and applications on disaster prevention and mitigation in civil engineering are commented, especially for the new researches published in Science China. disaster prevention, dynamic response, structure vibration control, structural health monitoring Citation:Xu Z D. Recent researches on disaster prevention and mitigation in civil engineering.

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Section: Disaster Prevention Strategies Researchmentioning

confidence: 99%

Recent researches on disaster prevention and mitigation in civil engineering

2011

Sci. China Technol. Sci.

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“…The urgent need for more efficient, robust, and costeffective damping devices has led to the recent development of magnetorheological (MR) damper based method [20]. It has been noted that as one of the most representative semiactive control devices, MR damper can achieve a flexible control effect at a small amount of energy consumption [21][22][23]. And even if the control system fails or the energy supply is interrupted, it will degenerate into passive MR control [24] and there is no instability risk like passive negative stiffness methods [17].…”

Section: Introductionmentioning

confidence: 99%

Single input magnetorheological pseudo negative stiffness control for bridge stay cables

Xu¹,

Xu²,

Guo³

et al. 2020

Smart Mater. Struct.

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The bridge stay cable, one of the most critical components in cable-stayed bridges, is vulnerable to vibrations owing to its low inherent damping capacity. Thus effective vibration control technology for bridge stay cables is extremely critical to safe operations of cable-stayed bridges. Several countermeasures have been presented and/or implemented to mitigate this vibration; however the passive method can only add a small amount of damping to the cables, excessive energy demand of active control devices severely limits its practicality, the semi-active control methods still have the drawbacks of complex state estimation module and a large amount of control algorithm calculation. This paper proposes a practical magnetorheological pseudo negative stiffness (MR-PNS) control system coupled with control strategy for bridge stay cables. The current reference point is introduced in the dynamic modeling of the MR-PNS control system to characterize the current control strategy. This paper investigates the adjustable of MR-PNS control system performance and energy consumption caused by different current strategies. Taking the vibration control of the Nanjing Second Yangtze River Bridge J20 cable as an example, the simulation results highlight the advantages of the MR-PNS control system that the failure area is small, the quasi-optimal area is wide, and it can still keep sort of vibration damping performance in the degenerate area. The model cable vibration control test proves the feasibility and efficiency of the single input MR-PNS bridge stay cables control method.

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“…The supervisory controller acts as a hierarchical decision maker for two lower‐level fuzzy‐logic controllers, one for far‐field ground motion and the other for near‐field ground motion. Xu and Guo 47 developed an integrated intelligent control strategy to solve the time‐delay problem by a neural network. The control currents of the MR dampers were determined by a fuzzy controller using the earthquake excitation and the predicted displacement of the first floor as inputs.…”

Section: Introductionmentioning

confidence: 99%

Semiactive fuzzy control of the seismic response of building frames with MR dampers

Das

Datta

Madan

2011

Earthq Engng Struct Dyn

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A fuzzy-logic control algorithm, based on the fuzzification of the MR damper characteristics, is presented for the semiactive control of building frames under seismic excitation. The MR damper characteristics are represented by force-velocity and force-displacement curves obtained from the sinusoidal actuation test. The method does not require any analytical model of MR damper characteristics, such as the Bouc-Wen model, to be incorporated into the control algorithm. The control algorithm has a feedback structure and is implemented by using the fuzzy-logic and Simulink toolboxes of MATLAB. The performance of the algorithm is studied by using it to control the responses of two example buildings taken from the literature-a three-storey building frame, in which controlled responses are obtained by clipped-optimal control and a ten-storey building frame. The results indicate that the proposed scheme provides nearly the same percentage reduction of responses as that obtained by the clipped-optimal control with much less control force and much less command voltage. Position of the damper is found to significantly affect the controlled responses of the structure. It is observed that any increase in the damper capacity beyond a saturation level does not improve the performance of the controller. dampers and controllable fluid dampers. Mostly two fluids, viz., electrorheological (ER) fluid and magnetorheological (MR) fluid, are widely used in controllable fluid dampers. A few state-of-theart review papers [1-4] provide a good survey of the research carried out for structural control in general, and for semiactive control in particular. Some recent experimental studies on scaled models of building frames and bridges have shown that semi-active systems performed better than the corresponding passive systems [5-7] and required much less external energy as compared with active systems.In recent years, the MR damper has been identified as a potential device for semiactive control for building frames because of its mechanical simplicity, low power requirement, high dynamic range, large force capacity and robustness. Being an energy dissipation device that cannot add mechanical energy to the structural system, an MR damper is also very stable and fail-safe. MR fluid contains a suspension of iron particles in a carrier mechanism such as oil. Application of a magnetic field causes the iron particles to align, and inter-particle bonds increase the resistance of the fluid, turning it into a semi-solid.A number of the literature report on the development and modeling of MR dampers. Initially, the research started with modeling of ER dampers and in one of the early works, the ER damper was analytically modeled with the help of the Bingham viscoplastic model [8], which was later extended to a viscoplastic-elastic model in a consequent study [9]. Recently, however, a new phenomenological model of a typical MR damper, based on the Bouc-Wen hysteresis model, has been proposed [10]. The proposed model overcomes different shortcomings of th...

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Integrated intelligent control analysis on semi-active structures by using magnetorheological dampers

Cited by 13 publications

References 17 publications

Recent researches on disaster prevention and mitigation in civil engineering

Recent researches on disaster prevention and mitigation in civil engineering

Single input magnetorheological pseudo negative stiffness control for bridge stay cables

Semiactive fuzzy control of the seismic response of building frames with MR dampers

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