2012
DOI: 10.1155/2012/838140
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Semi-Active Control Using Magnetorhelogical Dampers with Output Feedback and Distributed Sensing

Abstract: 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-ba… Show more

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Cited by 7 publications
(3 citation statements)
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“…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 fluid such as oil [1].…”
Section: Introductionmentioning
confidence: 99%
“…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 fluid such as oil [1].…”
Section: Introductionmentioning
confidence: 99%
“…Yang et al [10] developed a large-scale MR fluid damper for civil engineering applications for vibration control. Dyke and Spencer [11] and Chandiramani and Purohit [12] controlled MR dampers using several semi-active controllers for vibration control.…”
Section: Introductionmentioning
confidence: 99%
“…When designing the algorithm support for AVC systems, a frequent assumption is that the controlled structure maintains its dynamic properties throughout the control procedure. This assumption enables the straightforward tuning of some controllers used in vibration attenuation like positive position feedback (PPF) [2,4], while, in model-based algorithms such as linear quadratic (LQ) [3,5] or model predictive control [6][7][8] (MPC), it allows the use of a relatively precise nominal model. However, not every AVC application fits this convenient premise.…”
Section: Introductionmentioning
confidence: 99%