Associate Professor.
Special Issue Paper
Optimal dynamic inversion-based semi-active control of benchmark bridge using MR dampers
Article first published online: 16 FEB 2009
DOI: 10.1002/stc.325
Copyright © 2009 John Wiley & Sons, Ltd.
Issue
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Structural Control and Health Monitoring
Special Issue: Part 1: Benchmark Structural Control Problem for Seismically Excited Highway Bridge
Volume 16, Issue 5, pages 564–585, August 2009
Additional Information
How to Cite
Ali, Sk. F. and Ramaswamy, A. (2009), Optimal dynamic inversion-based semi-active control of benchmark bridge using MR dampers. Struct. Control Health Monit., 16: 564–585. doi: 10.1002/stc.325
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Associate Professor.
Publication History
- Issue published online: 28 JUL 2009
- Article first published online: 16 FEB 2009
- Manuscript Accepted: 14 JAN 2009
- Manuscript Revised: 13 JAN 2009
- Manuscript Received: 1 FEB 2008
- Abstract
- References
- Cited By
Keywords:
- dynamic inversion;
- magnetorheological dampers;
- optimal control;
- benchmark bridge;
- semi-active vibration control
Abstract
A new two-stage state feedback control design approach has been developed to monitor the voltage supplied to magnetorheological (MR) dampers for semi-active vibration control of the benchmark highway bridge. The first stage contains a primary controller, which provides the force required to obtain a desired closed-loop response of the system. In the second stage, an optimal dynamic inversion (ODI) approach has been developed to obtain the amount of voltage to be supplied to each of the MR dampers such that it provides the required force prescribed by the primary controller. ODI is formulated by optimization with dynamic inversion, such that an optimal voltage is supplied to each damper in a set. The proposed control design has been simulated for both phase-I and phase-II study of the recently developed benchmark highway bridge problem. The efficiency of the proposed controller is analyzed in terms of the performance indices defined in the benchmark problem definition. Simulation results demonstrate that the proposed approach generally reduces peak response quantities over those obtained from the sample semi-active controller, although some response quantities have been seen to be increasing. Overall, the proposed control approach is quite competitive as compared with the sample semi-active control approach. Copyright © 2009 John Wiley & Sons, Ltd.

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