On the efficiency of semi-active smart structures: self-regulating MR dampers control system for tall buildings

2013 ◽  
Vol 23 (13) ◽  
pp. 1027-1044 ◽  
Author(s):  
Nima Mohajer Rahbari ◽  
Siamak Talatahari
Keyword(s):  
Control System ◽  
Smart Structures ◽  
Tall Buildings ◽  
Mr Dampers

scholarly journals Review on vibration control in tall buildings: from the perspective of devices and applications

2020 ◽  
Author(s):  
BG Kavyashree ◽  
Shantharam Patil ◽  
Vidya S. Rao
Keyword(s):  
Control System ◽  
Active Control ◽  
Structural Control ◽  
Passive Control ◽  
Hybrid Control ◽  
Tall Buildings ◽  
Effective Control ◽  
Earthquake Load ◽  
History Of ◽  
External Loads

AbstractPermanent construction has evolved from the Palaeolithic age to today’s skyscrapers. Constructing the structure, which promises occupants safety, has become a concern because of the uncertainties in nature. Therefore in recent years, attention has been given to the development of structural protective devices that could take care of the external loads. Structural control against the wind and earthquake load has been seriously studied where the structure behaves differently for wind and earthquake load has been briefly discussed in this paper. Initially, paper discusses the history of the construction and the passive control system, which was used in structural control, is briefly discussed in this paper. Also, the implementation of active control has been discussed which was introduced later in the structural control for more effective control. But the limitations of the passive and active control system have introduced semi-active control and also the hybrid control strategy. The two mechanisms are put together in the semi-active and hybrid system to obtain all advantages of the algorithm along with overcoming their limitations. The review also briefs about stochastic vibrational control of the structure where randomness is considered in external loads, parameter of the system and also in the external devices which are implemented in the structural control. As construction sector is a complex system, big data analysis, a new field in structural control system is discussed and future scope is also mentioned.

Modeling and Tracking Control System of Shape Memory Alloy Actuator

2007 ◽  
Author(s):  
B. Y. Ren ◽  
B. Q. Chen
Keyword(s):  
Control System ◽  
Shape Memory Alloy ◽  
Shape Memory ◽  
Tracking Control ◽  
Fuzzy Controller ◽  
Smart Structures ◽  
Constitutive Law ◽  
Hysteresis Model ◽  
Sma Actuators ◽  
Sma Actuator

The different Shape Memory Alloy (SMA) actuators have been widely used in the fields of smart structures. However, the accurate prediction of thermomechanical behavior of SMA actuators is very difficult due to the nonlinearity of inherence hysteresis of SMA. Therefore, the tracking control accuracy of SMA actuator is very important for the practical application of the SMA actuator. A dynamic hysteresis model of bias-type SMA actuator based on constitutive law developed by Brinson et al. and hysteresis model developed by Ikuta et al. is presented. The control systems composed of the Proportional Integral Derivative (PID) controller as well as a fuzzy controller or a fuzzy-PID composite controller for compensating the hysteresis is proposed. The effort of tracking control system is analyzed according to the simulation on the displacement of SMA actuator with the three kinds of controllers. The result can provide a reference for the application of SMA actuator in the fields of smart structures.

Sensor Fault Diagnosis in Smart Structures

2009 ◽  
Author(s):  
Reza Sharifi ◽  
Reza Langari ◽  
Yeesock Kim
Keyword(s):  
Fault Detection ◽  
Fuzzy Controller ◽  
Interpolation Method ◽  
Smart Structures ◽  
Mr Damper ◽  
Principal Component ◽  
Sensor Fault ◽  
Mr Dampers ◽  
Sensor Fault Detection ◽  
Residual Generator

This paper proposes a novel principal component analysis (PCA)-based sensor fault detection methodology for smart structures employing magnetorheological (MR) dampers. The MR damper is operated by a semiactive nonlinear fuzzy controller (SNFC) that is developed by integration of a set of Lyapunov optimal controllers, Kalman filters, and a semiactive converter with the fuzzy interpolation method. A numeric residual generator is found using the PCA analysis of ten measurements obtained from the structure-MR damper system for sensor fault detection. Using the matrix of this residual generator, the detectability and isolability of each sensor has been analyzed and the detection and isolation algorithm is applied to the smart structural system with different levels of artificially added faults. The simulation demonstrated that the proposed PCA-based sensor fault detection approach is effective in identifying the sensor faults of large smart structures employing 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.

Application of wireless sensing and control system to control a torsion-coupling building with MR-dampers

2007 ◽  
Author(s):  
Sung-Chieh Hsu ◽  
Kung-Chun Lu ◽  
Pei-Yang Lin ◽  
Chin-Hsiung Loh ◽  
Jerome P. Lynch
Keyword(s):  
Control System ◽  
Wireless Sensing ◽  
Mr Dampers ◽  
And Control

scholarly journals Analytical Investigation of MR Damper for Vibration Control: A Review

2021 ◽  
Vol 11 (1) ◽  
pp. 49-52
Author(s):  
K. Sumanth Ratna ◽  
C. Daniel ◽  
Anshika Ram ◽  
B. Siva Kumar Yadav ◽  
G. Hemalatha
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Control System ◽  
Vibration Control ◽  
Active Control ◽  
Mr Damper ◽  
Analytical Investigation ◽  
Seismic Resistance ◽  
Mr Dampers ◽  
Active Control System

Abstract In this paper, a vibration control system with magnetorheological (MR) damper investigation is reviewed. At first a MR damper is investigated analytically using various finite element method software and the performance is investigated using experimental. The MR Dampers are designed and modelled for a scaled down setup. The application is in seismic resistance of buildings, automobile, physical and biological. Finally, the damper is investigated using various technique and methods used to study the performance is reviewed. This device reduces the vibration in both active and semi active control system effectively.

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