2008 American Control Conference 2008
DOI: 10.1109/acc.2008.4587310
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QFT control for vibration reduction in structures equipped with MR dampers

Abstract: Abstract-This short paper addresses the problem of designing a QFT (Quantitative Feedback Theory) based controllers for the vibration reduction in a 6-story building structure equipped with shear-mode magnetorheological dampers. A new methodology is proposed for characterizing the nonlinear hysteretic behavior of the MR damper through the uncertainty template in the Nichols chart. The design procedure for QFT control design is briefly presented.

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Cited by 3 publications
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“…the nonlinear dynamics of the MR damper were ignored. A step further was performed by Zapateiro et al [23] by proposing the inclusion of the hysteretic dynamics of MR dampers in the QFT control design and its feasibility was proved by numerical simulations. This paper presents our research work carried out on an experimental setup available at the Smart Structures Technology Laboratory, University of Illinois at Urbana-Champaign (SSTL), which represents the problem of vibration control of a large-scale three-story building with an MR damper at its first floor subject to seismic motions.…”
Section: Introductionmentioning
confidence: 99%
“…the nonlinear dynamics of the MR damper were ignored. A step further was performed by Zapateiro et al [23] by proposing the inclusion of the hysteretic dynamics of MR dampers in the QFT control design and its feasibility was proved by numerical simulations. This paper presents our research work carried out on an experimental setup available at the Smart Structures Technology Laboratory, University of Illinois at Urbana-Champaign (SSTL), which represents the problem of vibration control of a large-scale three-story building with an MR damper at its first floor subject to seismic motions.…”
Section: Introductionmentioning
confidence: 99%
“…Other control methods have been proposed, such as the bang-bang control (McClamroch et al, 1994;McClamroch and Gavin, 1995;Jansen and Dyke, 2000); sliding mode control (Luo et al, 2003;Moon et al, 2003;Villamizar et al, 2003); quantitative feedback theory control (Villamizar et al, 2004;Zapateiro et al, 2008); and intelligent controls such as fuzzy logic and neuro fuzzy control (Schurter and Roschke, 2001;Kim and Roschke, 2006).…”
Section: Introductionmentioning
confidence: 99%
“…the nonlinear dynamics of the MR damper were ignored. A step further was done by Zapateiro, Karimi & Luo (2008) by proposing the inclusion of the MR dynamics in the QFT control design. Feasibility of this approach was proved by numerical simulations.…”
Section: Introductionmentioning
confidence: 99%