Simulation of a suspension control system using a semi-active (MR) damper actuator

This article developed response optimization criteria to identify the best response curve in the time domain to meet the design response criteria for comfortable passenger transportation. The method of design response optimization was utilized to optimize the numerical values of magnetorheological (MR) dashpot parameters that are dependent on the Bingham plastic model. The MR damper value settings were enhanced using an aim square error tracing technique, showing a semi-active controller. To meet the design requirements and work inversely to determine the MR damper settings, a responsive design optimization approach was created. The best results were got by employing the semi-active controller’s optimal tuning parameters (MR damper). After optimum tuning of the semi-active controller parameters, the response curve reveals a reduction in amplitudes of displacement, velocity, and relative displacement of 46 to 70%.