Simplified inverse dynamics models for MR fluid dampers

Abstract

The magnetorheological (MR) damper is considered to be one of the most promising semi-active control devices for reduction of structural vibration. Due to the damper's nonlinear characteristic, its inverse dynamics model is difficult to obtain. In this paper, a simplified approach, namely the Simplified Inverse Dynamics (SID) model, has been developed for both the Bingham plasticity model and the Bouc-Wen hysteresis model. SID models have then been used to calculate the optimal fluid yield stress or input current, in order to realize the desirable control forces obtained from various optimal control algorithms. For each model, a piston velocity feedback (PVF) algorithm and a damper force feedback (DFF) algorithm have been formulated. The proposed model has been shown to be applicable to both small-scale and large-scale MR dampers. Also, different configurations of MR dampers, such as, different dimension, coil resistance, type of MR fluid, have been employed to show the generic nature of SID model. The effectiveness of force tracking using SID model has been demonstrated through a series of numerical simulations. A multi-storey frame structure with MR damper-brace systems, using a large-scale 20-ton MR damper, has been adopted. Numerical results show that the MR damper with the proposed SID model can produce forces very close to the optimal control forces, and that the response reduction is very close to the case of fully active control. Also, equally high accuracy of force tracking for different shaking levels and frequency contents of ground motions can be observed. The results demonstrate that SID model can be a simple, yet effective, tool for both research and application purposes.

Automotive Ride Comfort Control Using MR Fluid Damper

“…These valves are noisy, its maintenance costly and have drawback in their time delay. As technology advances, a semi-active suspension using smart fluids with an adjustable viscosity to control the damper damping force, instead of hydraulic valves, has a considerable attention [7][8][9][10][11][12][13][14][15][16]. These smart fluid dampers are classified into two types Electro-rheological (ER) and Magneto-rheological (MR) dampers.…”

“…From literature, several mechanical models have been proposed to describe the performance of MR dampers and their behavior [9][10][11][12][13][14][15][16][17]. A Bouc-Wen model, which was described by Spencer et al [8], is still the most commonly used model to describe the MR damper hysteretic characteristics.…”

“…The limitation with the polynomial curve fitting models [11] is that it cannot characterize the MR behavior well at low velocity region since the model does not include variables characterizing the pre-yield property of the damper force. Other Models black box [12], NARX-based technique [13] and simplified inverse dynamics [14] are more flexible to describe the behavior of the MR dampers, but the correlation between the model parameters and hysteresis phenomena is not clear. Further simplified models are needed in order to reduce the computational complexity in real world microcontrollers; however the nonlinearity of magneto-rheological (MR) dampers is not only from the hysteresis but also from the damper bi-linearity and the saturation related to the fluid magnetism [15].…”

Study on semi-active control of mega-sub controlled structure by MR damper subject to random wind loads

“…A simple Bingham plasticity model is effective in describing the essential fi eld-dependent fl uid characteristics (Tsang et al, 2006). The relationship between stress and strain of MR fl uid is given by…”

A novel inverse dynamic model for a magnetorheological damper based on network inversion

“…Some inverse dynamic models for MR dampers have been proposed. Tsang et al (2006) propose a simplified inverse dynamic model for both the Bingham plasticity and the Bouc-Wen hysteresis models in order to calculate the optimal fluid yield stress or input current. The effectiveness of the proposed model has been demonstrated through numerical simulations.…”