Structural protection using MR dampers with clipped robust reliability-based control

Yuen, Ka‐Veng; Shi, Yuanfeng; Beck, James L.; Lam, Heung-Fai

doi:10.1007/s00158-007-0097-3

Cited by 37 publications

(26 citation statements)

References 28 publications

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“…In order to establish the effectiveness of the present method, maximum peak responses using OSOF are compared in Table 6 with available results from the robust reliability-based controller of Yuen et al [13]. Here accelerations are in multiples of g. The comparison considers the ten storey building with MR dampers attached between storeys 0-1 and 1-2.…”

Section: Comparison With Available Resultsmentioning

confidence: 99%

“…Here accelerations are in multiples of g. The comparison considers the ten storey building with MR dampers attached between storeys 0-1 and 1-2. Four seismic excitations [13], i.e., El-Centro 50%, 100%, 150%, and Kobe 50%, are considered. Kobe JMA (1995) ground excitation data representing the N-S component measured at the Japanese Meterological Agency Station, Kobe, is considered [23].…”

Section: Comparison With Available Resultsmentioning

confidence: 99%

“…The following cases are considered: Structural properties given in [13] Table 2 of [3] are considered, except that initial offset due to the accumulator is neglected, i.e., x 0 = 0 [9]. Unless mentioned otherwise, the structure is subjected to N-S component of EL Centro (1940) ground acceleration data measured at Imperial Valley [22].…”

Section: Resultsmentioning

confidence: 99%

“…OSOF control is also compared against available results from the robust reliability-based controller of Yuen et al [13]. Peak and RMS responses are used for comparison amongst controllers.…”

Section: Introductionmentioning

confidence: 99%

“…Response attenuation of connected buildings using LQR control was studied by Motra et al [12] for clipped/neural-network based voltage laws. Yuen et al [13] used reliability based robust linear controller design with a clipped voltage law. Prabhakar et al [14] used H ∞ control and genetic searching to enhance the performance of a semi-active system.…”

Section: Introductionmentioning

confidence: 99%

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Semi-Active Control Using Magnetorhelogical Dampers with Output Feedback and Distributed Sensing

Chandiramani

Purohit

2012

Shock and Vibration

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Abstract. Control of seismic response of a building fitted with magnetorheological dampers is considered using Optimal Static Output Feedback (OSOF) for desired damper forces. The Modified Bouc-Wen damper model is used and two control voltage laws based on the MR constraint filter, i.e., Semi-inverse Quadratic Voltage Law and Semi-inverse On-Off Voltage Law, are proposed. These appear to perform at least as well as an existing Clipped Voltage Law. Comparisons with available results from a robust reliability-based controller show OSOF control to be quite effective. Controlled response using OSOF is compared with Linear Quadratic Guassian (LQG) and passive-on controllers. Moderate to substantial reduction in maximum peak/RMS responses is mostly obtained with base configuration of sensors when using OSOF control, and controller CPU time reduces by two orders of magnitude. Parametric studies regarding sensor configuration and state/control weighting matrices are performed in order to obtain effective control. Effective OSOF control requires drift feedback with drift sensor preferably collocated with damper.

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Section: Comparison With Available Resultsmentioning

confidence: 99%

Section: Comparison With Available Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Semi-Active Control Using Magnetorhelogical Dampers with Output Feedback and Distributed Sensing

Chandiramani

Purohit

2012

Shock and Vibration

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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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Efficient Bayesian sensor placement algorithm for structural identification: a general approach for multi‐type sensory systems

Yuen

Kuok

2014

Earthq Engng Struct Dyn

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108

104

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SUMMARYIn this paper, a Bayesian sequential sensor placement algorithm, based on the robust information entropy, is proposed for multi-type of sensors. The presented methodology has two salient features. It is a holistic approach such that the overall performance of various types of sensors at different locations is assessed. Therefore, it provides a rational and effective strategy to design the sensor configuration, which optimizes the use of various available resources. This sequential algorithm is very efficient due to its Bayesian nature, in which prior distribution can be incorporated. Therefore, it avoids the possible unidentifiability problem encountered in a sequential process, which starts with small number of sensors. The proposed algorithm is demonstrated using a shear building and a lattice tower with consideration of up to four types of sensors.

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Structural protection using MR dampers with clipped robust reliability-based control

Cited by 37 publications

References 28 publications

Semi-Active Control Using Magnetorhelogical Dampers with Output Feedback and Distributed Sensing

Semi-Active Control Using Magnetorhelogical Dampers with Output Feedback and Distributed Sensing

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

Efficient Bayesian sensor placement algorithm for structural identification: a general approach for multi‐type sensory systems

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