On the Application of Support Vector Method for Predicting the Current Response of MR Dampers Control Circuit

Magnetorheological (MR) dampers are controlled energy-dissipating devices utilizing smart fluids. They operate in a fast and valveless manner by taking advantage of the rheological properties MR The magnitude response fluids, when subjected to magnetic fields, is sufficient employ them various applications, namely, vibration damping, energy absorption, exoskeletons, etc. At same time, predicting their arbitrary mechanical electrical inputs still research challenge. Due non-linearities involved material or design solenoid used for activating fluid modeling relationships between control circuit material’s complex. Modeling studies can be classified into two categories. parametric approach requires knowledge internal takes physics formulas infer I/O present damper. For comparison, non-parametric harnesses data mapping techniques describe device’s behavior. While latter more suited studies, former seems ideal algorithm prototyping like. In this study, based on so-called Support Vector Method (SVM), authors develop model an exemplary rotary To best author’s knowledge, it first attempt at SVM application dampers’ modeling. Using acquired experimental data, inferred using algorithm, its performance verified across wide range excitation frequencies. obtained results satisfactory, current damper well-predicted. shows potential incorporating model-based designing systems.