The primary purpose of this chapter is to present an approach for developing nonparametric models for magneto-rheological (MR) dampers. Upon describing the approach adopted here, a non-parametric model for a commercial magneto-rheological damper is developed, and is compared with a parametric model from an earlier study. The results show that the proposed non-parametric model can more effective...

This research paper represents the analysis and simulation of semi-active suspension using non-linear modeling Magneto-Rheological (MR) with consideration hysteresis behavior for a quarter car model. The is based on assumption that each wheel experiences same disturbance excitation. Hysteresis analyzed Bingham, Dahl's, Bouc-Wen models. focuses passive, Dahl, models five road profiles. desired d...

In this paper the performance of Artificial Neural Networks (ANNs) and Adaptive NeuroFuzzy Inference Systems (ANFIS) in simulating the inverse dynamic behavior of MagnetoRheological (MR) dampers is investigated. MR dampers are one of the most applicable methods in semi active control of seismic response of structures. Various mathematical models are introduced to simulate the dynamic behavior o...

The work deals with a newly developed prototype of an electrical control unit (ECU) for magnetorheological (MR) damper powered by energy harvested from vibrations. ECU, consisting rectifying bridge, driver unit, microcontroller, and internal power supply system, is advanced version the specially designed processing system vibrations use this to MR damper. Unlike typical in which circuits are ex...

Magnetorheological dampers, or as they are more commonly called, MR dampers, are being developed for a wide variety of applications where controllable damping is desired. These applications include dampers for automobiles, heavy trucks, bicycles, prosthetic limbs, gun recoil systems, and possibly others. This paper first introduces MR technology through a discussion of MR fluids and then by giv...

Magnetorheological (MR) materials and shear thickening fluids are both smart material and their combination could offer both MR and ST effects. This study looks at the properties and behaviour of magnetorheological shear thickening fluid (MRSTF) in particular whilst applied as a semi-active energy absorber. A device with two forms of varying vibration control has been created and measured. The ...

In this paper, numerical aspects of a sensitivity control for the semi-active suspension system with a magneto-rheological (MR) damper are investigated. A 2-dof quarter-car model together with a 6th order polynomial model for the MR damper are considered. For the purpose of suppressing the vertical acceleration of the sprung mass, the square of the vertical acceleration is defined as a cost fun...

In order to reduce vehicle vibration during driving conditions, a fuzzy sliding mode control strategy (FSMC) for semi-active air suspension based on the magnetorheological (MR) damper is proposed. The MR used in system was tested and analyzed. Based experimental data, genetic algorithm identify parameters of improved hyperbolic tangent model, which derived damper. At same time, an adaptive neur...

This paper demonstrates different types support vector regression (SVR) for annealing robust fuzzy neural networks (ARFNNs) to identification of nonlinear magneto-rheological (MR) damper with outliers. A SVR has the good performances to determine the number of rule in the simplified fuzzy inference system and initial weights for the fuzzy neural networks. In this paper, we independently propose...

The control performance of a smart top-story isolation system for a building structure subjected to seismic excitation was investigated in this paper. For this purpose, a 20-story shear building model was selected as an example structure and an artificial earthquake generated based on design spectrum of low-to-moderate seismicity regions such as Korea was used for structural analyses. MR damper...