Modeling and Parameter Identification of MR Damper considering Excitation Characteristics and Current

Abstract

Smart structures such as damping adjustable dampers made of magnetorheological (MR) fluid can be used to attenuate vibration transmission in vehicle seat suspension. The main research content of this paper is the nonlinearity and hysteresis characteristics of the MR damper. A hysteretic model considering both excitation characteristics and input current is proposed to fit the damper force-velocity curve for the MR damper under different conditions. Multifactor sensitivity analysis based on the neural network method is used to obtain importance parameters of the hyperbolic tangent model. In order to demonstrate the fitting precision of the different models, the shuffled frog-leaping algorithm (SFLA) is employed to identify the parameters of MR damper models. The research results indicate that the modified model can not only describe the nonlinear hysteretic behavior of the MR damper more accurately in fixed conditions, compared with the original model, but also meet the fitting precision under a wide range of magnitudes of control current and excitation conditions (frequency and amplitude). The method of parameter sensitivity analysis and identification can also be used to modify other nonlinear dynamic models.

The Effect of Dolphin Echolocation-Fuzzy Logic Controller in Semi-active control of structural systems by using endurance time method

“…Where S is the factor to correct the damper rod velocity which is estimated by a Kinematic Kalman Filter (KKF) from the relative displacement between base and first mass and from the absolute acceleration of the first mass [12][13][14]. The efficacy of time-delay could be eliminated because the time-delay is far from the first period of ordinary structures.…”

“…Furthermore, it is important to reduce the cost of purchase, installation, operation and maintenance of the semi-active devices [10]. Several researches have been investigated on optimal arrangement of dampers [11] but optimal MR damper arrangement and their sensors as two discrete subjects have not paid attention yet [12][13][14].…”

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

“…find out the information of the MR damper allocation, including which pairs of adjacent floors are linked by MR dampers and corresponding damper number for each pair of the adjacent floor determine the matrices Γ (2n + l,n) , B, and D f defined in equations ( 1), (10), and ( 8), respectively generate an FLC calculate the fitness value according to the objective function else let the fitness value � 1 end Table 2: e pseudocode of Step 9 of the design process. Update each position X i (i ∈ [1, N]) with the following steps: Update the algorithm parameters including a, b, A, C, l, and p defined in Section 3 Judge whether p < 0.5 If yes, Judge whether |A| ≥ 1, which is defined in Section 3 If yes, randomly determine a position X rand in the range of the current population, and update the position Xi according to equation ( 19) else update the position Xi based on X * according equation ( 14) end else conduct spiral position updating according to equation ( 17) end Judge whether every code of the position X i is within the predefined value ranges If yes, keep the position X i else replace the code of the position X i with the corresponding limit value end t � t + 1 As seen from Figure 4, simultaneously minimizing both objectives cannot be realized in the optimization whatever α is.…”

“…ey have become one of the most promising control devices to reduce the vibration responses in the field of engineering [8][9][10]. Katebi and Zadeh [11] and Lin et al [12] employed MR dampers to interconnect the adjacent structures with different kinds of control algorithms.…”

Optimal Control of Semiactive Two‐Stage Vibration Isolation Systems for Marine Engines

“…Yu et al [10] proposed a rotating hysteresis model which consists of rotating spring, rotating viscous damping element, and hysteresis element based on error function, and this device with variable stiffness model can reduce the rotational oscillation. Zhang et al [11] studied the nonlinear and hysteretic characteristics of MR dampers used to suppress the vibration transmission of automobile seat suspension.…”