Optimized Control of Semiactive Suspension Systems Using H $_\infty$ Robust Control Theory and Current Signal Estimation

In this paper, an optimized modified skyhook control for the semiactive Macpherson suspension system, equipped with a magnetorheological (MR) damper, is investigated. Using H
_∞
robust control theory and a 2-D dynamic model, including the kinematics of the suspension system, a robust output feedback controller is developed. The combination of a linear matrix inequality (LMI) solver and genetic algorithm (GA) is adopted to optimize the control gains. Further a 3-D kinematic model is introduced to evaluate the kinematic performance of the controlled suspension system. An inverse dynamic model of the MR damper is obtained based on the experimental results for tuning the input current signal. The effectiveness of the control system is discussed and validated through the simulations and experiment.