Application of semi-active control strategies for seismic protection of buildings with MR dampers

Bitaraf, Maryam; Ozbulut, Osman E.; Hurlebaus, Stefan; Barroso, Luciana R.

doi:10.1016/j.engstruct.2010.05.023

Cited by 119 publications

(65 citation statements)

References 38 publications

(45 reference statements)

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“…Genetic algorithms also are used for determining the rule base of a fuzzy control system for seismic vibration control with an MR semi-active damper in [8]. In comparison with an adaptive controllers, the authors have obtained a better response reduction of the structural system from the optimized fuzzy controller.…”

Section: Introductionmentioning

confidence: 97%

Hybrid geno-fuzzy controller for seismic vibration control

Pătraşcu

Dumitrache

2012

Proceedings of 2012 UKACC International Conference on Control

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This paper evaluates the possibility of applying a geno-fuzzy control strategy to a magnetorheological semi-active damper for seismic vibration control. The proposed control starategy is designed and then tested and validated in a simulated environment. The control strategy is validated by considering a more destructive seismic disturbance as input for the damperstructure system. The proposed geno-fuzzy hybrid controller offers improved performance and implementability for real-time applications.

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Section: Introductionmentioning

confidence: 97%

Hybrid geno-fuzzy controller for seismic vibration control

Pătraşcu

Dumitrache

2012

Proceedings of 2012 UKACC International Conference on Control

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“…In earlier studies, smart control devices such as magneto-rheological damper were designed and installed on structures for suppressing vibration [1][2][3][4][5][6][7][8][9]. The control forces of those devices act on structure systems as external forces so that the control systems have stateuncoupled linear control terms or external control inputs [5][6][7][8][9]. The control inputs can be designed based on the control theory such as dynamic programming principle.…”

Section: Introductionmentioning

confidence: 99%

“…Several control strategies such as linear quadratic control (or linear quadratic Gaussian control) and bang-bang control (or bounded saturated control) [20,21] have been proposed and applied frequently to the vibration control of engineering structures. In those studies, the control systems with state-uncoupled control terms were considered, where the control actions are external inputs and uncoupled with system states, for example, the control forces produced by active mass dampers and semi-active magneto-rheological dampers [5][6][7][8][9]. The feedback control law can be determined directly, for example, based on the dynamical programming principle.…”

Section: Introductionmentioning

confidence: 99%

Parametric optimal bounded feedback control for smart parameter-controllable composite structures

Ying

Duan

2015

Journal of Sound and Vibration

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“…Shook et al [10] optimized fuzzy logic controllers using Genetic algorithm and investigated the results. Finally, Bitaraf et al [11] proposed two semiactive control methods for seismic protection of structures, using MR damper.…”

Section: Introductionmentioning

confidence: 99%

Semi-active Control of Structure Vibrations with MR Damper Using Fuzzy Control System (FLC) and Optimization through Genetic Algorithm (GA)

El-hami

Daneshdoost

Madady

2011

Lecture Notes in Electrical Engineering

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Abstract. Magneto-Rheological (MR) damper is a new generation of dampers, filled up with a MR fluid. This fluid, when exposed to a magnetic field, will transform regularly from a slipper linear viscous fluid to a semi rigid state. In this article, semi-active control of structures equipped with MR damper is studied. For this purpose, fuzzy control theory is used to determine appropriate command voltage applied to MR damper; and genetic algorithm is used to optimize the fuzzy rules. Then, generated fuzzy rules database will improve fuzzy control system performance relative to experimental fuzzy rules database. Consequently, with applying an appropriate command voltage through an optimized fuzzy control system will decrease vibrations of the structures. The results show that, in the presence of optimized fuzzy rules through genetic algorithm, the amplitude of vibrations is decreased significantly.

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Application of semi-active control strategies for seismic protection of buildings with MR dampers

Cited by 119 publications

References 38 publications

Hybrid geno-fuzzy controller for seismic vibration control

Hybrid geno-fuzzy controller for seismic vibration control

Parametric optimal bounded feedback control for smart parameter-controllable composite structures

Semi-active Control of Structure Vibrations with MR Damper Using Fuzzy Control System (FLC) and Optimization through Genetic Algorithm (GA)

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