Linear quadratic Gaussian application and clipped optimal algorithm using for semi active vibration of passenger car

A novel semi active control system for eleven Degrees of Freedom passenger car's suspension system using Magneto rheological damper is presented. The considered suspension system is modeled using mass spring damper model. The semi active vibration control is designed to reduce the amplitude of vehicle's vibration due to by road profile. The applied control strategies are based on a Linear Quadratic Gaussian optimal control algorithm to obtain desired damping forces of MR dampers. In considered system, the damping coefficient of the shock absorber changes actively through inducing magnetic field. The necessary input voltage to MR dampers to generate desired damping forces are derived using inverse dynamic model of MR damper using clipped optimal model. It is observed that the amplitude of vibration response can be significantly reduced using proposed semi active control scheme.