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 characteristics, 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
MRdampers. Also, different configurations of MR dampers, such as ones with different dimensions, coil resistances, types of MR fluid, have
been employed to show the generic nature of the SID model. The effectiveness of force tracking using the 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 that for 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 the SID
model can be a simple, yet effective, tool for both research and application purposes.
| Original language | English |
|---|---|
| Pages (from-to) | 327-341 |
| Number of pages | 15 |
| Journal | Engineering Structures |
| Volume | 28 |
| Issue number | 3 |
| Early online date | 16 Nov 2005 |
| DOIs | |
| Publication status | Published - Feb 2006 |
Keywords
- Damper force feedback (DFF) algorithm
- Magnetorheological (MR) fluid damper
- Optimal input current
- Piston velocity feedback (PVF) algorithm
- Semi-active control
- Simplified inverse dynamics (SID) model
ASJC Scopus subject areas
- Civil and Structural Engineering
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