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Research Papers

Testing and Modeling of MR Damper and Its Application to SDOF Systems Using Integral Backstepping Technique

[+] Author and Article Information
Sk. Faruque Ali

Department of Civil Engineering, Indian Institute of Science, Bangalore, Karnataka 560012, Indiaskfali@civil.iisc.ernet.in

Ananth Ramaswamy

Department of Civil Engineering, Indian Institute of Science, Bangalore, Karnataka 560012, Indiaananth@civil.iisc.ernet.in

J. Dyn. Sys., Meas., Control 131(2), 021009 (Feb 05, 2009) (11 pages) doi:10.1115/1.3072154 History: Received January 11, 2008; Revised November 02, 2008; Published February 05, 2009

Magnetorheological dampers are intrinsically nonlinear devices, which make the modeling and design of a suitable control algorithm an interesting and challenging task. To evaluate the potential of magnetorheological (MR) dampers in control applications and to take full advantages of its unique features, a mathematical model to accurately reproduce its dynamic behavior has to be developed and then a proper control strategy has to be taken that is implementable and can fully utilize their capabilities as a semi-active control device. The present paper focuses on both the aspects. First, the paper reports the testing of a magnetorheological damper with an universal testing machine, for a set of frequency, amplitude, and current. A modified Bouc–Wen model considering the amplitude and input current dependence of the damper parameters has been proposed. It has been shown that the damper response can be satisfactorily predicted with this model. Second, a backstepping based nonlinear current monitoring of magnetorheological dampers for semi-active control of structures under earthquakes has been developed. It provides a stable nonlinear magnetorheological damper current monitoring directly based on system feedback such that current change in magnetorheological damper is gradual. Unlike other MR damper control techniques available in literature, the main advantage of the proposed technique lies in its current input prediction directly based on system feedback and smooth update of input current. Furthermore, while developing the proposed semi-active algorithm, the dynamics of the supplied and commanded current to the damper has been considered. The efficiency of the proposed technique has been shown taking a base isolated three story building under a set of seismic excitation. Comparison with widely used clipped-optimal strategy has also been shown.

FIGURES IN THIS ARTICLE
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Copyright © 2009 by American Society of Mechanical Engineers
Topics: Dampers , Testing , Modeling
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References

Figures

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Figure 1

Magnetorheological damper

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Figure 2

Force-displacement hysteresis curve (experimental)

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Figure 3

Bouc–Wen hysteretic model

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Figure 4

Comparison of experimental (dotted line) and analytical (solid line) models: variable amplitude (ic=1.0 A,ω=1.0 Hz)

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Figure 5

Comparison of experimental (dotted line) and analytical (solid line) models: variable current (xa=10 mm,ω=1.0 Hz)

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Figure 6

Base isolated three story building model

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Figure 7

Impulse force analysis: (a) uncontrolled and uncontrolled responses, and (b) control force input

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Figure 8

Base isolated three story building model

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Figure 9

Seismic analysis: uncontrolled and controlled responses (North Palm Spring, 1994)

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