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Magneto-rheological (MR) dampers are effective solutions in improving vehicle stability and passenger comfort. However, handling these dampers implies a strong effort in modeling and control. This research proposes an H2 controller, based on a Takagi–Sugeno (T–S) fuzzy model, for a two-degrees-of-freedom (2-DOF) one-quarter vehicle semi-active suspension with an MR damper; a system with important...
Automotive suspensions are important systems in improving passenger comfort and vehicle stability. Magnetorheological dampers are actually being used intensively in vehicle suspensions, improving stability and comfort by changing the damping factor in milliseconds. The difficulty about MR dampers are the highly nonlinear characteristics and inherent hysteresis that turn the damper's modeling in a...
In order to enhance ride comfort and vehicle stability, numerous control approaches have been applied in vehicle suspension research. One of these control approaches is the family of fuzzy controllers. The literature is rich in research about fuzzy techniques focused on vehicle suspension performance but exists a lack of work on semi-active suspensions models that includes accurate actuator dynamics...
This research introduces a more accurate control oriented model that can be applied in the suspensions performance domain towards comfort and stability improvement. Active suspension based on Magnetorheological (MR) dampers is an attractive solution in improving vehicle stability and passenger comfort. These Dampers are highly nonlinear and their modeling and control is a challenge. The multi-model...
Magnetorheological (MR) dampers have proved to be an attractive solution in improving vehicle stability and passenger comfort. However, handling with these dampers, which contain highly nonlinear phenomena, implies a strong effort in modeling and control. This research presents a Takagi-Sugeno (T-S) fuzzy model, not reported before, for a two-degrees-of-freedom (2-DOF) one-quarter-vehicle semiactive...
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