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 Variable damping control strategy of a semi-active suspension based on the actuator motion state

2019 ◽  
Vol 39 (3) ◽  
pp. 787-802 ◽  
Author(s):  
Mingde Gong ◽  
Hao Chen
Keyword(s):  
Control Strategy ◽  
Ride Comfort ◽  
Active Suspension ◽  
Suspension System ◽  
Heavy Vehicles ◽  
Damping Force ◽  
Damping Control ◽  
Motion State ◽  
Variable Damping ◽  
Work First

A semi-active suspension variable damping control strategy for heavy vehicles is proposed in this work. First, a nine-degree-of-freedom model of a semi-active suspension of heavy vehicles and a stochastic road input mathematical model are established. Second, using a 1/6 vehicle as an example, a semi-active suspension system with damping that can be adjusted actively is designed using proportional relief and throttle valves. The damping dynamic characteristics of the semi-active suspension system and the time to establish the damping force are studied through a simulation. Finally, a variable damping control strategy based on an actuator motion state is proposed to adjust the damping force of the semi-active suspension system actively and therefore satisfy the vibration reduction requirements of different roads. Results show that the variable damping control suspension can substantially improve vehicle ride comfort and handling stability in comparison with a passive suspension.

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 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.

scholarly journals Design, Analysis, and Experimental Evaluation of a Double Coil Magnetorheological Fluid Damper

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Guoliang Hu ◽  
Fengshuo Liu ◽  
Zheng Xie ◽  
Ming Xu
Keyword(s):  
Dynamic Range ◽  
Parametric Design ◽  
Mr Damper ◽  
Optimization Procedure ◽  
Experimental Tests ◽  
Element Model ◽  
Reverse Direction ◽  
Semiactive Control ◽  
Damping Force ◽  
Mr Dampers

A magnetorheological (MR) damper is one of the most advanced devices used in a semiactive control system to mitigate unwanted vibration because the damping force can be controlled by changing the viscosity of the internal magnetorheological (MR) fluids. This study proposes a typical double coil MR damper where the damping force and dynamic range were derived from a quasistatic model based on the Bingham model of MR fluid. A finite element model was built to study the performance of this double coil MR damper by investigating seven different piston configurations, including the numbers and shapes of their chamfered ends. The objective function of an optimization problem was proposed and then an optimization procedure was constructed using the ANSYS parametric design language (APDL) to obtain the optimal damping performance of a double coil MR damper. Furthermore, experimental tests were also carried out, and the effects of the same direction and reverse direction of the currents on the damping forces were also analyzed. The relevant results of this analysis can easily be extended to the design of other types of MR dampers.

Application of a New Semi-Active Control Strategy to Dynamic Response Control of an Offshore Platform Using MR Dampers

2010 ◽  
Author(s):  
Xiaochuan Yu ◽  
Tianwei Ma ◽  
Jeffrey M. Falzarano
Keyword(s):  
Dynamic Response ◽  
Active Control ◽  
Control Strategy ◽  
Offshore Platform ◽  
Damping Force ◽  
Inverse Dynamic ◽  
Response Control ◽  
Mr Dampers ◽  
New Strategy ◽  
Active Control Strategy

A new semi-active control strategy is developed to adjust the voltage/current of magnetorheological (MR) dampers to track the optimal/desired damping force by the Linear Quadratic Regulator (LQR) method. Integrated with the new strategy, a modified inverse dynamic model is proposed to evaluate the value of evolutionary variable based on the Bouc-Wen model of MR dampers. This new strategy is firstly applied to a one-story building under El-Centro earthquake, and it is further applied to the dynamic response control of a fixed jacket offshore platform. The results show that this new semi-active control strategy can achieve efficient vibration control.

scholarly journals Optimal Allocation and Control of Magnetorheological Dampers for Enhancing Seismic Performance of the Adjacent Structures Using Whale Optimization Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Xiufang Lin ◽  
Weiqing Lin
Keyword(s):  
Seismic Performance ◽  
Optimization Algorithm ◽  
Control Strategy ◽  
Fuzzy Logic Controller ◽  
Optimal Allocation ◽  
Whale Optimization Algorithm ◽  
Semiactive Control ◽  
Mr Dampers ◽  
Adjacent Structures ◽  
Whale Optimization

The control strategy for protecting adjacent structures from earthquake excitations is gaining increasing significance. In this study, to improve the seismic performance, a semiactive control strategy using magnetorheological (MR) dampers to couple the adjacent structures is proposed. In this control strategy, to fully exploit the performance of MR dampers, the allocation (including the locations and the number) and fuzzy logic controller (FLC) system of MR dampers are simultaneously optimally designed by whale optimization algorithm (WOA) with a special encoding scheme. Simulation results verify that WOA provides competitive performance compared with the other three metaheuristic algorithms in terms of solution quality and robustness. Compared with other semiactive control methods including on-off, linear quadratic regulator-clipped voltage law, and WOA-FLC (optimal allocation is not considered) methods, by using much less MR dampers, the proposed control strategy can exhibit more excellent overall performance in terms of reducing the seismic responses and mitigating pounding.

scholarly journals Application of Support Vector Machine-Based Semiactive Control for Seismic Protection of Structures with Magnetorheological Dampers

2012 ◽  
Vol 2012 ◽  
pp. 1-18
Author(s):  
Chunxiang Li ◽  
Qing Liu ◽  
Shengning Lan
Keyword(s):  
Support Vector Machine ◽  
Control Strategy ◽  
Control Strategies ◽  
Seismic Protection ◽  
Support Vector ◽  
Semiactive Control ◽  
Mr Dampers ◽  
Acceleration Amplification ◽  
Switch Control ◽  
Lqr Controller

Based on recent research by Li and Liu in 2011, this paper proposes the application of support vector machine- (SVM-) based semiactive control methodology for seismic protection of structures with magnetorheological (MR) dampers. An important and challenging task of designing the MR dampers is to develop an effective semiactive control strategy that can fully exploit the capabilities of MR dampers. However, amplification of the local acceleration response of structures exists in the widely used semiactive control strategies, namely “Switch” control strategies. Then the SVM-based semiactive control strategy has been employed to design MR dampers. Firstly, the LQR controller for the numerical model of a multistory structure formulated using the dynamic dense method is constructed by using the classic LQR control theory. Secondly, an SVM model which comprises the observers and controllers in the control system is designed and trained to emulate the performance of the LQR controller. Finally, an online autofeedback semiactive control strategy is developed by resorting to SVM and then used for designing MR dampers. Simulation results show that the MR dampers utilizing the SVM-based semiactive control algorithm, which eliminates the local acceleration amplification phenomenon, can remarkably reduce the displacement, velocity, and acceleration responses of the structure.

scholarly journals Exploring New Boundaries to Mitigate Structural Vibrations of Bridges in Seismic Regions: A Smart Passive Strategy

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Giuseppe Maddaloni ◽  
Nicola Caterino ◽  
Gianluca Nestovito ◽  
Antonio Occhiuzzi
Keyword(s):  
Control Strategy ◽  
Control Algorithm ◽  
Design Procedure ◽  
Main Idea ◽  
Warning System ◽  
Semiactive Control ◽  
Dynamic Simulations ◽  
Seismic Engineering ◽  
Mr Dampers ◽  
Seismic Regions

The combined use of two emerging technologies in the field of seismic engineering is investigated. The first is a semiactive control, to reduce smartly the effects induced by earthquakes on structures. The second is the Seismic Early Warning System which allows an estimate of the Peak Ground Accelerations of an incoming earthquake. This paper proposes the exploitation of this information in the framework of a semiactive control strategy based on the use of magnetorheological (MR) dampers. The main idea consists of changing the MR dampers’ behaviour by the PGA estimated by the SEWS, to obtain the optimal seismic response of the structure. The control algorithm needed to drive the variable devices, according to the PGA estimate, is the core issue of the proposed strategy. It has been found that different characteristics of earthquakes that occur at different sites play a significant role in the definition of a control algorithm. Therefore, a design procedure for “regional” control algorithms has been performed. It is based on the results of several nonlinear dynamic simulations performed using natural earthquakes and on the use of a multicriteria decision-making procedure. The effectiveness of the proposed control strategy has been verified with reference to a highway bridge and to two specific worldwide seismic regions.

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