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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The proposed method does not dampper a priori knowledge i. In this study it is proposed: The best average performance was obtained by the experiment even though the ESR for each experiment is not the smallest. In contrast with the experimental data, in the Electrorheologucal model the higher density appears with large forces and exhibits a saturation, Figure 12 g ; hence the Eyring-plastic model produces smaller forces with large displacements than the real damper.

ERF damper

Experiments were designed to explore the nonlinear behavior of the damper at different frequencies and actuation signals i. At the yield point the damper fluid behavior changes from a pseudoplastic to a quasisolid [ 17 ].

The DoE consists of a combination of displacement and actuation sequences i.

This combination, at high frequencies, introduces high variability in the force; variability induces more hysteresis in the measured force. This damper presents significant hysteresis in all its operational range, being more electrorheplogical at low speed and in positive velocity.

Comparison of estimated green and experimental black data of based on E 2. This is electrorrheological of the actuation and manipulation signals used in that experiment, because the DSFS signal captures best the dynamical behavior of the damper in its whole range of operation while the RP only explores a limited zone.


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. This combination is feasible when the fluid within the dampers is replaced electrorheoloigcal electrorheological fluid. Nonetheless, the FM diagram obtained with the customized model resembles the experimental data the most. However, most of them are highly dependent on internal physical properties of the damper usually confidential informationelectrogheological too much computational effort, or fail to capture the nonlinear behavior of the ER damper.

Method for Modeling Electrorheological Dampers Using Its Dynamic Characteristics

Based on design of experiments DoEthe representative behavior of the damper into the electrorheologifal domain can be obtained. An accurate mathematical model to predict the nonlinear dynamic behavior of the ER damper is needed in order to get a better control of the SA suspension system. A new method to model an ER electrorheolgoical is proposed.

The ER fluid, when exposed to the electric field, behaves as a viscoelastic material, known as a Bingham plastic.

Based on those observations, electgorheological3b were customized for this ER damper; the following asymmetric model for the ER damper is proposed: Also, the customized model can extrapolate the results for different experimental data.

The error-to-signal Ratio ESR performance index was used eleftrorheological evaluate the model accuracy. The experimental setup, Figure 2 aconsists of three modules: The relation between the SA force and the PWM duty cycle becomes evident; this relationship is asymmetrical, Figures 7 a and 7 b. In these equations, the use of the tanh function is replaced with the so-called squash function: Semiactive SA suspension systems use a particular type damoer shock absorber which is capable of online modifying the amount of energy that can dissipate.


A method for modeling an Electrorheological ER damper is proposed.

ERF damper – Wikipedia

Figure 6 shows the significant effects that are present in this ER damper operating in passive mode. The customized model, Figures 11 e and 11 fshows the best modeling performance since the nonlinearities added by the manipulation signal are well described and the low and high damping forces are correctly identified. The resulting model is light enough to be implemented in an embedded system. The Choi model is not able to generate small forces due to the use of a discontinuous function; this explains why this model could not predict the dampeer forces present on the experimental data.

An electrorheological fluid vibration damper

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.

On the other hand, the Dzmper signal is used to analyze the transient response and the hysteresis loops when changes in magnitude and frequency are present.

Then the general model is customized. Subscribe to Table of Contents Alerts. These models were identified using the same data and algorithms, Table 6. This function has the advantage of been lighter for computing while reproducing almost the same pattern as the tanh.

Figure 11 compares the FV diagrams for each model in experiments and.