Recently, a number of researches about linear magnetorheological(MR) damper using valve-mode characteristics of MR
fluid have sufficiently undertaken, but researches about rotary MR damper using shear-mode characteristics of MR fluid
are not enough.
In this paper, we performed vibration control of shear-mode MR damper for unlimited rotating actuator of mobile robot.
Also fuzzy logic based vibration control for shear-mode MR damper is suggested. The parameters, like scaling factor of
input/output and center of the triangular membership functions associated with the different linguistic variables, are
tuned by genetic algorithm. Experimental results demonstrate the effectiveness of the fuzzy-skyhook controller for
vibration control of shear-mode MR damper under impact force.
Due to the inherent nonlinear nature of Electro-rheological(ER) fluid dampers, one of the challenging aspects for utilizing these devices to achieve high system performance is the development of accurate models and control algorithms that can take advantage of their unique characteristics. In this paper, the nonlinear damping force model is made to identify the properties of the ER damper using higher order spectrum. The higher order spectral analysis is used to investigate the nonlinear frequency coupling phenomena with the damping force signal according to the sinusoidal excitation of the damper. Also, this paper presents an inverse model of the ER damper, i.e., the model can predict the required voltage so that the
ER damper can produce the desired force for the requirement of vibration control of vehicle suspension systems. The inverse model has been constructed by using a multi-layer perceptron. A quarter-car suspension model is considered in this paper for analysis and simulation. Simulation results show that the proposed inverse model of ER damper can obtain control voltage of ER damper for required damping force.
Recently, there exists an abundance of research on the semi-active suspension system. The skyhook control is commonly known to control semi-active suspension system because it has practicality. In this paper, the fuzzy logic control based on heuristic knowledge is combined with the skyhook control. And it simulated in a quarter car model. The acceleration value of the sprung mass was reflected in fuzzy inference to reduce the vertical acceleration RMS value of the sprung mass. Then scale factors and membership functions that determine performance efficiency of fuzzy skyhook controller are tuned by a genetic algorithm known as a kind of optimization method.