Vibration mitigation of highway isolated bridge using MR damper-based smart passive control system employing an electromagnetic induction part

2009 ◽  
Vol 16 (6) ◽  
pp. 613-625 ◽  
Author(s):  
Hyung-Jo Jung ◽  
Dong-Doo Jang ◽  
Kang-Min Choi ◽  
Sang-Won Cho
Keyword(s):  
Control System ◽  
Electromagnetic Induction ◽  
Passive Control ◽  
Mr Damper ◽  
Vibration Mitigation ◽  
Isolated Bridge

Smart Damping System Based on MR Damper and Electromagnetic Induction Device for Suppressing Vibration of Stay Cable

2009 ◽  
Author(s):  
In-Ho Kim ◽  
Dong-Doo Jang ◽  
Hyung-Jo Jung ◽  
Jeong-Hoi Koo
Keyword(s):  
Control System ◽  
Electromagnetic Induction ◽  
Passive Control ◽  
Mechanical Energy ◽  
Mr Damper ◽  
Electrical Energy ◽  
Induced Voltage ◽  
Stay Cable ◽  
Power Sources ◽  
Cable Vibrations

This paper investigates the effectiveness of a smart damping system consisting of a magnetorheological (MR) damper and an electromagnetic induction (EMI) device in reducing cable vibrations. The smart damping system incorporates an EMI device to reduce complexity of conventional MR damper based semi-active control system by eliminating external power sources. This is because the EMI part in the system generates electrical energy (i.e., induced voltage) from mechanical energy (i.e., reciprocal motions of an MR damper), which can be used as a power source for the MR damper. The primary goal of this experimental study is to evaluate the performance of the proposed smart damping system using a full-scale, 44.7 meters long, high-tension cable. To this end, free vibration responses and damping of the proposed smart damping system were compared with those of an equivalent passive control system. The experimental results show that the smart damping system shows better control performance than all the passive control cases.

MR damper-based smart passive control system for seismic protection of building structures

2006 ◽  
Author(s):  
Hyung-Jo Jung ◽  
Kang-Min Choi ◽  
Ji-Eun Jang ◽  
Sang-Won Cho ◽  
In-Won Lee
Keyword(s):  
Control System ◽  
Passive Control ◽  
Mr Damper ◽  
Seismic Protection ◽  
Building Structures

A shuffled frog-leaping algorithm based mixed-sensitivity H∞ control of a seismically excited structural building using MR dampers

2017 ◽  
Vol 24 (13) ◽  
pp. 2832-2852 ◽  
Author(s):  
Xiufang Lin ◽  
Shumei Chen ◽  
Guorong Huang
Keyword(s):  
Active Control ◽  
Passive Control ◽  
Structural Parameters ◽  
Mr Damper ◽  
Inverse Model ◽  
Shuffled Frog Leaping Algorithm ◽  
Weighting Functions ◽  
Inference System ◽  
Mr Dampers ◽  
Shuffled Frog Leaping

An intelligent robust controller, which combines a shuffled frog-leaping algorithm (SFLA) and an H∞ control strategy, is designed for a semi-active control system with magnetorheological (MR) dampers to reduce seismic responses of structures. Generally, the performance of mixed-sensitivity H∞ (MSH) control highly depends on expert experience in selecting the parameters of the weighting functions. In this study, as a recently-developed heuristic approach, a multi-objective SFLA with constraints is adopted to search for the optimal weighting functions. In the proposed semi-active control, firstly, based on the Bouc–Wen model, the forward dynamic characteristics of the MR damper are investigated through a series of tensile and compression experiments. Secondly, the MR damper inverse model is developed with an adaptive-network-based fuzzy inference system (ANFIS) technique. Finally, the SFLA-optimized MSH control approach integrated with the ANFIS inverse model is used to suppress the structural vibration. The simulation results for a three-story building model equipped with an MR damper verify that the proposed semi-active control method outperforms fuzzy control and two passive control methods. Besides, with the proposed strategy, the changes in structural parameters and earthquake excitations can be satisfactorily dealt with.

Investigation of an energy harvesting MR damper in a vibration control system

2016 ◽  
Vol 25 (12) ◽  
pp. 125017 ◽  
Author(s):  
Bogdan Sapiński ◽  
Maciej Rosół ◽  
Marcin Węgrzynowski
Keyword(s):  
Control System ◽  
Energy Harvesting ◽  
Vibration Control ◽  
Mr Damper
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