Nonlinear blackbox modeling of MR-dampers for civil structural control

2005 ◽  
Vol 13 (3) ◽  
pp. 345-355 ◽  
Author(s):  
Gang Jin ◽  
M.K. Sain ◽  
B.E. Spencer
Keyword(s):  
Structural Control ◽  
Mr Dampers

A Reliability Assessment Model for MR Damper Components within a Smart Structural Control Scheme

2008 ◽  
Vol 56 ◽  
pp. 218-224
Author(s):  
Maguid H.M. Hassan
Keyword(s):  
Structural Control ◽  
Inverse Dynamics ◽  
Mr Damper ◽  
Assessment Model ◽  
Resistance Force ◽  
Mr Dampers ◽  
Control Scheme ◽  
Smart Control ◽  
Control Devices ◽  
Magneto Rheological

Smart control devices have gained a wide interest in the seismic research community in recent years. Such interest is triggered by the fact that these devices are capable of adjusting their characteristics and/or properties in order to counter act adverse effects. Magneto-Rheological (MR) dampers have emerged as one of a range of promising smart control devices, being considered for seismic applications. However, the reliability of such devices, as a component within a smart structural control scheme, still pause a viable question. In this paper, the reliability of MR dampers, employed as devices within a smart structural control system, is investigated. An integrated smart control setup is proposed for that purpose. The system comprises a smart controller, which employs a single MR damper to improve the seismic response of a single-degree-of-freedom system. The smart controller, in addition to, a model of the MR damper, is utilized in estimating the damper resistance force available to the system. On the other hand, an inverse dynamics model is utilized in evaluating the required damper resistance force necessary to maintain a predefined displacement pattern. The required and supplied forces are, then, utilized in evaluating the reliability of the MR damper. This is the first in a series of studies that aim to explore the effect of other smart control techniques such as, neural networks and neuro fuzzy controllers, on the reliability of MR dampers.

Radar-based impact load prediction for damage mitigation of infrastructure

2015 ◽  
Vol 23 (12) ◽  
pp. 1908-1924 ◽  
Author(s):  
Jake Edmond Hughes ◽  
Yeesock Kim ◽  
Tahar El-Korchi ◽  
David Cyganski
Keyword(s):  
Control System ◽  
Structural Control ◽  
Impact Load ◽  
Impact Loads ◽  
Control Technology ◽  
Velocity Measurements ◽  
Engineering Structures ◽  
Mr Dampers ◽  
Controller Performance ◽  
Smart Control

The application of smart control technology to both aging and new infrastructure is essential to extending service life, increasing life safety, and decreasing repair and replacement costs. One area of control technology research for civil engineering structures that has received little attention historically is that of high-impact loads, such as collision events. The dissipation of impact energy using smart control devices, such as magnetorheological (MR) dampers, leads to less plastic deformation and damage, and a lower likelihood of collapse in civil engineering structures. Due to the short duration and high variability in magnitude of potential impact loads, the issue of sub-optimal controller performance arises. In order to boost controller performance and improve the effectiveness of the control system, a radar-based impact load identifier is proposed. This radar-based impact load identifier will be used to estimate impact loads from imminent impacting objects, for example vessels and trucks, thus providing input information to the control system before the impact actually occurs. This paper presents the characterization and validation, through laboratory tests, of one part of the radar-based impact load identifier, the range and velocity estimation of the incoming moving objects. The range and velocity information are then used to direct structural control based on laboratory impact tests. An ultrawideband monostatic pulsed radar is used for range and velocity measurements of a laboratory-scale impacting vehicle. The range and velocity measurements obtained from the radar scans are verified using physical measurements and control testing. The tests showed great accuracy for both range and velocity with less than 3% error for each measurement and demonstrated structural control based on these measurements. It is shown from control system testing that the proposed approach is effective in reducing the structural impact responses by 11–30%, depending on the performance index, for pre-impact structural stiffening with passive control of MR dampers.

Nonlinear Structural Control Using Magnetorheological Damper

2015 ◽  
pp. 211-244
Author(s):  
Shaikh Faruque Ali ◽  
Ananth Ramaswamy
Keyword(s):  
Structural Control ◽  
Structural Response ◽  
Geometric Approach ◽  
Magnetorheological Damper ◽  
Control Algorithms ◽  
Rule Base ◽  
Numerical Comparison ◽  
Mr Dampers ◽  
Logic Control ◽  
Numerical Studies

This chapter provides an introduction to semi active control of base isolated buildings using magnetorheological (MR) dampers. Recently developed nonlinear control algorithms are discussed. First a fuzzy logic control (FLC) is designed to decide how much voltage is required to be supplied to the MR damper for a desired structural response. The FLC is optimized using micro genetic algorithm. A novel geometric approach is developed to optimize the FLC rule base. Experiments are undertaken to access the efficacy of the optimal FLC. Secondly the chapter develops two model based control algorithms based on dynamic inversion and integrator backstepping approaches. A three storey base isolated building is used for experimental and numerical studies. A numerical comparison is shown with clipped optimal control.

Medium to long term behavior of MR dampers for structural control

2014 ◽  
Vol 23 (11) ◽  
pp. 117005 ◽  
Author(s):  
N Caterino ◽  
B M Azmoodeh ◽  
A Occhiuzzi
Keyword(s):  
Structural Control ◽  
Mr Dampers ◽  
Long Term Behavior

Nonlinear Structural Control Using Magnetorheological Damper

2013 ◽  
pp. 300-332
Author(s):  
Shaikh Faruque Ali ◽  
Ananth Ramaswamy
Keyword(s):  
Structural Control ◽  
Structural Response ◽  
Geometric Approach ◽  
Magnetorheological Damper ◽  
Control Algorithms ◽  
Rule Base ◽  
Numerical Comparison ◽  
Mr Dampers ◽  
Logic Control ◽  
Numerical Studies

This chapter provides an introduction to semi active control of base isolated buildings using magnetorheological (MR) dampers. Recently developed nonlinear control algorithms are discussed. First a fuzzy logic control (FLC) is designed to decide how much voltage is required to be supplied to the MR damper for a desired structural response. The FLC is optimized using micro genetic algorithm. A novel geometric approach is developed to optimize the FLC rule base. Experiments are undertaken to access the efficacy of the optimal FLC. Secondly the chapter develops two model based control algorithms based on dynamic inversion and integrator backstepping approaches. A three storey base isolated building is used for experimental and numerical studies. A numerical comparison is shown with clipped optimal control.

scholarly journals Modeling of Magnetorheological Dampers under Various Impact Loads

2015 ◽  
Vol 2015 ◽  
pp. 1-20 ◽  
Author(s):  
K. Sarp Arsava ◽  
Yeesock Kim
Keyword(s):  
Structural Control ◽  
Experimental Studies ◽  
Mr Damper ◽  
Impact Behavior ◽  
Impact Loads ◽  
Mr Dampers ◽  
Fuzzy Models ◽  
Control Signals ◽  
And Control ◽  
The Impact

Magnetorheological (MR) damper has received great attention from structural control engineering because it provides the best features of both passive and active control systems. However, many studies on the application of MR dampers to large civil structures have tended to center on the modeling of MR dampers under seismic excitations, while, to date, there has been minimal research regarding the MR damper model under impact loads. Hence, this paper investigates nonlinear models of MR dampers under a variety of impact loads and control signals. Two fuzzy models are proposed for modeling the nonlinear impact behavior of MR dampers. They are compared with mechanical models, the Bingham and Bouc-Wen models. Experimental studies are performed to generate sets of input and output data for training, validating, and testing the models: the deflection, acceleration, velocity, and current signals. It is demonstrated that the proposed fuzzy models are effective in predicting the complex nonlinear behavior of the MR damper subjected to a variety of impact loads and control signals. The proposed fuzzy model resulted in an accuracy of 99% to predict the impact forces of the MR damper.

scholarly journals Optimum Allocation of MR Dampers within Semi-Active Control Strategies of Three-Degree-of-Freedom Systems

2016 ◽  
Vol 4 (4) ◽  
pp. 45
Author(s):  
Omar Mahmoud Elmeligy ◽  
M. H. M. Hassan
Keyword(s):  
Fuzzy Logic ◽  
Active Control ◽  
Structural Control ◽  
Control Strategies ◽  
Structural Response ◽  
Degree Of Freedom ◽  
Maximum Displacement ◽  
Maximum Acceleration ◽  
Mr Dampers ◽  
Three Degree Of Freedom

Smart structural control is now emerging as an alternative to conventional earthquake resistant design and traditional structural control techniques. Fuzzy logic based control is one of the promising smart control strategies that could be used for this function. Magneto Rheological (MR) dampers are considered one of the promising semi-active control devices that can be used to control the structural response of buildings under earthquake excitation. The properties of MR dampers can be controlled using several smart techniques such as Fuzzy Logic. In this paper, a comparative analysis is conducted to investigate the most optimum location for placing MR dampers, which are controlled by Fuzzy Logic, in a three-degree-of-freedom benchmark problem. The study explores three potential schemes for allocating and operating MR dampers within the system under consideration. Two main structural response parameters are considered in this study, maximum displacement and maximum acceleration. In addition, the study investigates the lowest number of fuzzy-controlled MR dampers that are required in order to produce the required structural behaviour. This is an initial step towards the development of a generic allocation algorithm that is capable of identifying the required number of MR dampers, and their location, for controlling any multi-degree-of-freedom system.

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