Method for improving the neural network model of the magnetorheological damper

Wei, Shuli; Wang, Jian; Ou, Jinping

doi:10.1016/j.ymssp.2020.107316

Cited by 31 publications

(8 citation statements)

References 25 publications

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“…Not to mention that temperature changes drastically affect hysteresis ([ 22 ], Figure 2 ), which complicates even more the modeling task. Even soft-computing-based models suffer noticeable modeling errors [ 27 , 35 , 37 ]. These facts combined confirm how difficult the task of modeling MR dampers is.…”

Section: Resultsmentioning

confidence: 99%

“…As for static models, several researchers have suggested either nonlinear functions or soft-computing techniques. For instance, researchers have utilized the static sigmoid function [ 20 , 24 ], Gompertz function [ 25 ], hyperbolic tangent function [ 26 ], and neural networks [ 27 , 28 , 29 ]. These investigations came with a drawback—they require a large database to tune in the corresponding functions.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Shaking Table Attached to Magnetorheological Damper: Simulation and Experiments for Structural Engineering

Vargas

Raminelli

Montezuma

et al. 2022

Sensors

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This paper details how to construct a small-scale shaking table attached to a magnetorheological (MR) damper. The motivation for this construction relies on the increasing interest in modeling the dynamics of MR dampers—MR dampers have been used in structures for safety reasons. To model the MR damper, we use the so-called `Dahl model,’ which is useful to represent systems with a hysteresis. The Dahl model, validated through experimental data collected in a laboratory, was combined with a linear model to represent a two-story building. This two-story building model allows us to simulate the dynamics of that building when its floors are attached to MR dampers. By doing so, we can assess—through simulation—to what extent MR dampers can protect structures from vibrations. Using data from the `El Centro’ earthquake (1940), we can conclude that MR dampers have the potential to reduce the impact of earthquakes upon structures. This finding emphasizes the potential benefits of MR dampers for the safety of structures, which is a conclusion taken from the apparatus detailed in this paper.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Shaking Table Attached to Magnetorheological Damper: Simulation and Experiments for Structural Engineering

Vargas

Raminelli

Montezuma

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…However, they found it difficult to obtain the parameters for complex cases because of the difficulty of setting the initial value. For that reason, studies of estimating parameters based on neural networks [28][29][30] or genetic algorithms (GA) [31][32][33][34][35] have recently been ongoing. In this study, parameters were acquired using a novel GA-based optimization technique proposed by Birhan et al 36 based on the above MR damper performance graph.…”

Section: Bouc-wen Modelmentioning

confidence: 99%

Bi-exponential model and inverse model of magnetorheological damper for the semi-active suspension of a capsule vehicle

Yoon

Negash

You

et al. 2022

Measurement and Control

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The capsule vehicle is a new transportation system that travels in a sub-vacuum tunnel at a speed of about 1000 km/h, and adopts the electrodynamic suspension type levitation system. Accordingly, although it differs according to the driving speed, the vibration of capsule vehicle is expected to be greater than that of the wheel/rail type high-speed rail vehicles. Therefore, a method of applying a semi-active control technique using an MR damper as a secondary suspension of a capsule vehicle to improve passenger comfort is being studied. When performing semi-active control using an MR damper, the most important thing is to determine the current for the MR damper. However, it is difficult to determine the appropriate current for the MR damper because of the hysteretic characteristics of the MR damper. In this study, a practical model named the Bi-exponential model is presented for the application of semi-active control using MR dampers on a capsule vehicle. This Bi-exponential model well reflects the hysteretic characteristics of the MR damper, which makes it easy to obtain the inverse model for determining the current supplied to the MR damper. The semi-active control performance of the Bi-exponential model was evaluated by simulation and a HILS experiment, taking into account the vertical motion of a 1/4-car capsule vehicle. Also, the Bi-exponential model has been validated against the performance of the most commonly used Bouc-Wen model. As a result, the Bi-exponential model showed better hysteretic characteristics of MR dampers compared to the Bouc-Wen model. Furthermore, despite the simpler model compared to the Bouc-Wen model, the semi-active control performance of the Bi-exponential model was found to be better.

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“…The study also found that the accuracy increased by more than 50% in comparison with the general model. Additionally, the target force could be tracked using the model's precise control strategy [184].…”

Section: Semi-active Controllers For Mr Dampersmentioning

confidence: 99%

Review of Magnetorheological Damping Systems on a Seismic Building

et al. 2021

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Building structures are vulnerable to the shocks caused by earthquakes. Buildings that have been destroyed by an earthquake are very detrimental in terms of material loss and mental trauma. However, technological developments now enable us to anticipate shocks from earthquakes and minimize losses. One of the technologies that has been used, and is currently being further developed, is a damping device that is fitted to the building structure. There are various types of damping devices, each with different characteristics and systems. Multiple studies on damping devices have resulted in the development of various types, such as friction dampers (FDs), tuned mass dampers (TMDs), and viscous dampers (VDs). However, studies on attenuation devices are mostly based on the type of system and can be divided into three categories, namely passive, active, and semi-active. As such, each type and system have their own advantages and disadvantages. This study investigated the efficacy of a magnetorheological (MR) damper, a viscous-type damping device with a semi-active system, in a simulation that applied the damper to the side of a building structure. Although MR dampers have been extensively used and developed as inter-story damping devices, very few studies have analyzed their models and controls even though both are equally important in controlled dampers for semi-active systems. Of the various types of models, the Bingham model is the most popular as indicated by the large number of publications available on the subject. Most models adapt the Bingham model because it is the most straightforward of all the models. Fuzzy controls are often used for MR dampers in both simulations and experiments. This review provides benefits for further investigation of building damping devices, especially semi-active damping devices that use magnetorheological fluids as working fluids. In particular, this paper provides fundamental material on modeling and control systems used in magnetorheological dampers for buildings. In fact, magnetorheological dampers are no less attractive than other damping devices, such as tuned mass dampers and other viscous dampers. Their reliability is related to the damping control, which could be turned into an interesting discussion for further investigation.

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Method for improving the neural network model of the magnetorheological damper

Cited by 31 publications

References 25 publications

Shaking Table Attached to Magnetorheological Damper: Simulation and Experiments for Structural Engineering

Shaking Table Attached to Magnetorheological Damper: Simulation and Experiments for Structural Engineering

Bi-exponential model and inverse model of magnetorheological damper for the semi-active suspension of a capsule vehicle

Review of Magnetorheological Damping Systems on a Seismic Building

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