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A method for modeling Electro-Rheological (ER) dampers is proposed. It consists in two sequential steps: Characterization and Customization. Both steps are. This study presents nondimensional analysis of an Eyring constitutive model to describe the field-dependent behavior of an electrorheological. This paper presents the design, analysis, testing and modeling of an electrorheological (ER) fluid damper developed for vibration and seismic.

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Figure 11 compares the FV diagrams for each model in experiments and. This combination is feasible when the fluid within the dampers is replaced with electrorheological fluid. In Figures 8 b and 9 b it can be seen that the model can represent ekectrorheological rigidity of the damper, but in the same way as in Figures 9 a and 10 a the stick-slip phenomenon appears again.

The density plots are scatter plots that use different colors to indicate the density of incidences in different zones of the diagram; blue color indicates a lower number of occurrences i.

A series of displacement sequences and actuation signals were used to capture the static and dynamic relations between velocity, displacement, actuation signal, and the damper force [ 14 ]. Only the customized model includes the acceleration as input.

It represents the ratio between the variance of the estimation error and the variance of the experimental damper force [ 21 ]. State dampee the Art There are many mathematical models to reproduce the characteristic behavior of the ER damper.

This is an open access article distributed under the Creative Commons Attribution Licensewhich permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This force peaks appear also in Figures 8 c and 8 d and Figures 9 c and 9 dwhere the real data differ from electrorheeological estimated data in the top and bottom zones of the diagrams. Three replicas of each experiment were used to evaluate the performance of the customized damler.

An electrorheological fluid vibration damper – IOPscience

Also at low speed the hysteresis loop in SA force is not significant, but as the velocity and the PWM duty cycle rise, the hysteresis rises too, Figure 7 a. The RP smooth highway is the most common road for commercial vehicles.

The method comprehends two main steps: An accurate mathematical model to predict the nonlinear dynamic behavior of the ER damper is needed in wlectrorheological to get a better control of the SA suspension system. These models were identified using the same data and algorithms, Table 6. This is realized with a cross-validation of a model with other datasets; the results are shown in Table 4.


Based ddamper those observations, 3a3b were customized for this ER damper; the following asymmetric ddamper for the ER damper dampr proposed: The second one is the orifice type; this type has a mechanism located inside the piston of the damper, which regulates the flow of the ER fluid through its chambers; two models were electrorhsological, one for each type of damper, but the ones of physical parameters are needed.

There are several contributions in this topic [ electrorheologicxl3 ]. In the FD diagram, Figure 6 ban abnormal stick-slip appears as a peak, as well as effect of the frequency in the damper stiffness. Analyzing the ESR index, the customized model had the best modeling performance for all experiments, followed by the Eyring-plastic model. The FV diagram of the estimated data, Figure 10 bis similar to the one obtained with experimental data, Figure 10 abut because the stick-slip phenomenon is not considered by the model, the estimated force does not present the peaks around 0.

An electrorheological fluid vibration damper

Section 5 presents the modeling procedure. The resulting model is light enough to be implemented in an embedded system. For the actuation signal the use of a PRBS signal shows how the damper behaves when operated at its limit conditions; for the case of ICPS the full range of force was shown.

The ICPS is a signal with random amplitude variations, whereas the Dam;er is a signal whose amplitude switches between two constant values with a random frequency. Figure 6 shows the significant effects that are present in this ER damper operating in passive mode. The ER damper models are also qualitatively compared using density plots in order to identify if these models predict correctly the distribution of the experimental data.

The preyield and postyield zones depend on the actuation electdorheological but only the preyield zone depends on the damper velocity. Model terms used to represent the ER damper characteristics. In order to analyze the effectiveness of the customized model, a comparative analysis with other two well-known models was carried out: Characteristic diagrams of the ER damper passive behavior.

Mathematical Problems in Engineering

It can be observed that in almost all experiments the customized model shows same results as the full model, with the exception of. The electrorheological ER damper is a hydraulic device, which is filled with a mixture of low viscosity oil and particles that are sensitive to an electric field.

In an automotive suspension system the shock absorber has the purpose of dissipating the energy of the motion of the vehicle caused by the road disturbances. The passive force component is an initial compensation force generated by the accumulator, is the viscous damping coefficient which describes the linear viscous damping of the Newtonian fluids, is the stiffness coefficient which is the characteristic of linear elastomers, is the virtual damper mass, is the damping force due to friction, andmodel the hysteresis [ 18 — 20 ].


Based on Figures 8 and 9 the customized model correctly describes the nonlinear behavior of the ER damper and the effect of the actuation signal, and estimated data electrorheologicla similar to the real data. e,ectrorheological

Experiments and have a greater ESR index when compared with the ones achieved in experiments andrespectively. To receive news and publication updates for Mathematical Problems in Engineering, enter your email electorrheological in the box below. According to [ 22 ], since the experiment is a RP the zones with higher density of occurrences should be at low velocities for the FV diagram; in the case of the FD diagrams these zones should be in the small displacement range; on the other hand this experiment has a PRBS actuation signal; electrorheologucal the higher density zones must be in the ends of the control signal 0.

Introduction In an automotive suspension system the shock absorber has electrorhrological purpose of dissipating the energy of the motion of the vehicle caused by the road disturbances. Section 6 shows the results and evaluates the performance of the customized model.

ERF damper – Wikipedia

Semiactive SA suspension systems use a particular type of shock absorber which is capable of online modifying the amount of energy that can dissipate. In Figure 7 b the stiffness of the damper is affected when the frequency is incremented; also it is notorious how the stick-slip phenomenon became greater as the manipulation increases. Later [ 7 ] shows two different types of ER damper configurations.

This change on the damper needs to be controlled, to achieve the desired objectives. Density plots of experimental and estimated data for different models experiment. The SA force component depends on the actuation signal as where is the added force due to the manipulation signal to de damper force if a dampeer is applied and is the measured damper force in an experiment with zero or minimum manipulation.