Modeling of a rail vehicle's active suspension system to reduce vibrations using an LQR

This study compares the performance of two control strategies, Linear Quadratic Regulator (LQR) and pole placement controller, in both active and passive suspension systems. The investigation aims to evaluate the effectiveness of each strategy in enhancing ride comfort and rail handling capabilities. The research demonstrates that while the pole placement controller exhibits lower overshoot in the active suspension system compared to the passive system, the LQR controller significantly outperforms the pole placement controller in terms of minimizing overshoot and settling time. This indicates the superiority of the LQR controller for controlling the system's behavior, making it a more suitable choice for optimizing suspension systems. Furthermore, the analysis highlights that the control effort of the pole placement controller is significantly larger than that of the LQR controller, emphasizing the importance of efficiency and energy consumption in control strategy selection.