Model parameter identification for vehicle vibration control with magnetorheological dampers using computational intelligence methods

Abstract

The parameter identification of magnetorheological dampers by an inverse method is proposed. A modified Bouc-Wen modified dynamic model is considered and its parameters are obtained by using genetic algorithms. The experimental data consist of time histories of current, displacement, velocity, and force measured for both constant and variable current. The model parameters are determined using a set of experimental measurements corresponding to different constant current values and the resulting model is validated on the data measured for variable current. Based on this model a semi-active control of vehicle suspension is studied and a fuzzy controller is developed to reduce the chattering effect.

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

“…As observed, in the range of small velocities the force variation displays an important hysteretic behavior, while for large velocities the force varies almost linearly with the velocity. These two distinct rheological regions over F o r P e e r R e v i e w which dampers operate are known as the pre-yield and the post-yield regions Giuclea et al (2004). As the current increases, the force required to yield the fluid increases and produces behavior associated with a plastic material in parallel with a viscous damper.…”

A novel frequency dependent model based on trigonometric functions for a magnetorheological damper

“…As observed, in the range of small velocities the force variation displays significant hysteretic behaviour, while for large velocities the force varies almost linearly with the velocity. These two distinct rheological regions over which dampers operate are known as the pre-yield and the post-yield regions [9]. As the current increases, the force required to yield the fluid increases and produces behaviour associated with a plastic material in parallel with a viscous damper.…”

New Technologies and Devices to Increase Structures' Safety to Dynamic Actions

“…A frequency domain method was employed to model the hysteretic behavior of wire-cable isolators , iterative procedures were proposed for the parametric identification of a smoothed hysteretic model with slip (Li et al, 2004), of a modified Bouc-Wen model to portray the dynamic behavior of magnetorhological dampers, etc. The Genetic Algorithms were widely used for curve fitting the Bouc-Wen model to experimentally obtained hysteresis loops for composite materials (Horning), nonlinear degrading structures (Ajavakom, 2007) or magnetorheological fluid dampers (Giuclea, 2004et Kwok, 2007. In the present work, our primary focus is to give closed analytical relationships to determine the parameters of the Bouc-Wen model such as the predicted hysteresis curves and the experimental loops to have same absolute values of the maximum forces and same coordinates of the loop-axes crossing points.…”