ABSTRACT
The magnetorheological damper allows variable control of energy dissipation in a
simple design. Rapid response time and efficient power requirements make the device
one of the most effective means possible for interfacing mechanical components with
electrical controls. These properties are due to the MR fluids ability to change from a
free-flowing liquid to a semisolid in milliseconds when exposed to a magnetic field, and
instantly back to a liquid when the field is removed. But highly nonlinear dynamic
behavior is a significant challenge for applying to a control system. Research by others
has shown that a system of nonlinear differential equations can successfully be used to
describe the behavior of a MR damper. The paper presents a neuro fuzzy model for 0.3
ton MR-damper using Adaptive Neuro-Fuzzy Inference system (ANFIS). The results
show that the neuro fuzzy model can predict the force of the damper for different
excitation amplitudes and frequencies