Semi-active Vibration Control Using a Magneto Rheological (MR) Damper with Particle Swarm Optimization

Abstract

Active vibration control based on state feedback using H∞ criterion for two typical types of engineering equipment (machinery and sensitive equipment) is demonstrated here. Semi-active vibration control was implemented using a magnetorheological (MR) damper, which was guided by optimal output using the active method. Two control strategies based on error feedback are introduced here to achieve current regulation for the MR damper. The first method uses a conventional proportional-integral controller. Another method uses an adaptive fuzzy controller to account for the severe nonlinearity and uncertainty of the MR damper. This method is aimed at making improvements in fuzzy logic control for semi-active vibration control. Apart from this, a novel method was implemented to limit current in the case of the sensitive model used to predict output. Particle swarm optimization technique was used to optimize parameters used in this work.