Semiactive Control Using MR Dampers of a Frame Structure under Seismic Excitation

2008 ◽  
Author(s):  
Vincenzo Gattulli ◽  
Marco Lepidi ◽  
Francesco Potenza ◽  
Rùbia Carneiro ◽  
Adolfo Santini ◽  
...  
Keyword(s):  
Frame Structure ◽  
Seismic Excitation ◽  
Semiactive Control ◽  
Mr Dampers

scholarly journals Research on Vibration Reduction Control Based on Reinforcement Learning

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Rongyao Yuan ◽  
Yang Yang ◽  
Chao Su ◽  
Shaopei Hu ◽  
Heng Zhang ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Control Strategy ◽  
Frame Structure ◽  
Semiactive Control ◽  
Damping Force ◽  
Mr Dampers ◽  
Damping Control ◽  
Optimal Damping ◽  
Optimal Value ◽  
Optimal Action

Magnetorheological (MR) dampers, as an intelligent vibration damping device, can quickly change the damping size of the material in milliseconds. The traditional semiactive control strategy cannot give full play to the ability of the MR dampers to consume energy and reduce vibration under different currents, and it is difficult to control the MR dampers accurately. In this paper, a semiactive control strategy based on reinforcement learning (RL) is proposed, which is based on “exploring” to learn the optimal value of the MR dampers at each step of the operation, the applied current value. During damping control, the learned optimal action value for each step is input into the MR dampers so that they provide the optimal damping force to the structure. Applying this strategy to a two-layer frame structure was found to provide more accurate control of the MR dampers, significantly improving the damping effect of the MR dampers.

scholarly journals Experimental Issues in Testing a Semiactive Technique to Control Earthquake Induced Vibration

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Nicola Caterino ◽  
Mariacristina Spizzuoco ◽  
Julian M. Londoño ◽  
Antonio Occhiuzzi
Keyword(s):  
Large Scale ◽  
Experimental Testing ◽  
Practical Experience ◽  
Structural Testing ◽  
Frame Structure ◽  
Semiactive Control ◽  
Electrical Currents ◽  
Wide Range ◽  
And Control ◽  
Steel Frame Structure

This work focuses on the issues to deal with when approaching experimental testing of structures equipped with semiactive control (SA) systems. It starts from practical experience authors gained in a recent wide campaign on a large scale steel frame structure provided with a control system based on magnetorheological dampers. The latter are special devices able to achieve a wide range of physical behaviours using low-power electrical currents. Experimental activities involving the use of controllable devices require special attention in solving specific aspects that characterize each of the three phases of the SA control loop: acquisition, processing, and command. Most of them are uncommon to any other type of structural testing. This paper emphasizes the importance of the experimental assessment of SA systems and shows how many problematic issues likely to happen in real applications are also present when testing these systems experimentally. This paper highlights several problematic aspects and illustrates how they can be addressed in order to achieve a more realistic evaluation of the effectiveness of SA control solutions. Undesired and unavoidable effects like delays and control malfunction are also remarked. A discussion on the way to reduce their incidence is also offered.

scholarly journals Numerical Study on Nonlinear Semiactive Control of Steel-Concrete Hybrid Structures Using MR Dampers

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Long-He Xu ◽  
Zhong-Xian Li ◽  
Yang Lv
Keyword(s):  
Active Control ◽  
Numerical Study ◽  
Material Model ◽  
Relative Displacement ◽  
Hybrid Structure ◽  
Semiactive Control ◽  
Building Structures ◽  
Seismic Safety ◽  
Analysis And Design ◽  
Mr Dampers

Controlling the damage process, avoiding the global collapse, and increasing the seismic safety of the super high-rise building structures are of great significance to the casualties’ reduction and seismic losses mitigation. In this paper, a semiactive control platform based on magnetorheological (MR) dampers comprising the Bouc-Wen model, the semi-active control law, and the shear wall damage criteria and steel damage material model is developed in LS-DYNA program, based on the data transferring between the main program and the control platform; it can realize the purpose of integrated modeling, analysis, and design of the nonlinear semi-active control system. The nonlinear seismic control effectiveness is verified by the numerical example of a 15-story steel-concrete hybrid structure; the results indicate that the control platform and the numerical method are stable and fast, the relative displacement, shear force, and damage of the steel-concrete structure are largely reduced using the optimal designed MR dampers, and the deformations and shear forces of the concrete tube and frame are better consorted by the control devices.

MR Damper Semiactive Control for Bridge under Multi-Support Seismic Excitation

2011 ◽  
Vol 90-93 ◽  
pp. 1402-1405 ◽  
Author(s):  
Zheng Ying Li ◽  
Peng Peng Dang ◽  
De Jian Mu
Keyword(s):  
Traveling Wave ◽  
Seismic Excitation ◽  
Semiactive Control ◽  
Linear Quadratic ◽  
Arch Bridge ◽  
Long Span ◽  
Control Scheme ◽  
Wave Effects ◽  
Arch Bridges ◽  
Magneto Rheological

For vibration control of long-span arch bridges under multi-support seismic excitation, this paper presents schemes of control to seismic responses of arch bridges with Magneto-Rheological dampers(MRD). In the semi-active control system of arch bridge-MRD, Linear Quadratic Gaussian (LQG)-based Sign function control algorithm is used to command MRD，and traveling wave effects on the responses of structure are considered. The Nimu arch bridge is used as a simulation example to verify the proposed control scheme. Numerical results show that traveling wave effects have no unfavorable influence on the control to response of arch bridge.

scholarly journals Optimization of Fuzzy Control for Magnetorheological Damping Structures

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Jianguo Ding ◽  
Xin Sun ◽  
Lifeng Zhang ◽  
Jiaoyan Xie
Keyword(s):  
Fuzzy Control ◽  
Seismic Waves ◽  
Subjective Experience ◽  
Control Method ◽  
Frame Structure ◽  
Semiactive Control ◽  
Reinforced Concrete Frame ◽  
Control Effect ◽  
Concrete Frame ◽  
Magnetorheological Damping

Due to the influence of nonlinearity and time-variation, it is difficult to establish an accurate model of a magnetorheological damping structure that adopts semiactive control. Fuzzy control is a relatively appropriate control method, but fuzzy control design is susceptible to human subjective experience, which will decrease the control effect. This paper proposes new fuzzy control rules based on a genetic algorithm (GA) and particle swarm optimization (PSO) and performs a numerical simulation for a three-layer reinforced concrete frame structure under conditions of an uncontrolled structure, fuzzy control, fuzzy control optimized by GA, fuzzy control optimized by PSO, and GA-optimized FLC control (GA-FLC) proposed by Ali and Ramaswamy (2008). The results show that (1) the fitness values of the convergence of the two types of optimized fuzzy control are close. The speed of the convergence of the fuzzy control optimized by PSO is faster than that of the fuzzy control optimized by GA, but its running speed is slower. (2) Comparing the acceleration and displacement of the structure under the conditions of three different seismic waves, the effect of the optimized fuzzy control is better than that of the human experience fuzzy control and GA-FLC.

scholarly journals APPLICATION OF ADAPTIVE WAVELET NETWORKS FOR VIBRATION CONTROL OF BASE ISOLATED STRUCTURES

2010 ◽  
Vol 08 (05) ◽  
pp. 773-791 ◽  
Author(s):  
HAMID REZA KARIMI ◽  
MAURICIO ZAPATEIRO ◽  
NINGSU LUO
Keyword(s):  
Control Strategy ◽  
Supervisory Control ◽  
Feedback Linearization ◽  
Semiactive Control ◽  
Adaptive Wavelet ◽  
Wavelet Networks ◽  
Mr Dampers ◽  
Adaptive Laws ◽  
Adaptive Control Strategy ◽  
And Control

This paper presents an application of wavelet networks (WNs) in identification and control design for a class of structures equipped with a type of semiactive actuators, which are called magnetorheological (MR) dampers. The nonlinear model is identified based on a WN framework. Based on the technique of feedback linearization, supervisory control and H∞ control, an adaptive control strategy is developed to compensate for the nonlinearity in the structure so as to enhance the response of the system to earthquake type inputs. Furthermore, the parameter adaptive laws of the WN are developed. In particular, it is shown that the proposed control strategy offers a reasonably effective approach to semiactive control of structures. The applicability of the proposed method is illustrated on a building structure by computer simulation.

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