Vehicle Suspension System based on Adaptive Control Algorithm

This manuscript's goal is to develop a LQR pertaining to a vehicle's suspension system (VSS) that will increase ride in comfort by absorbing the shocks caused by an uncomfortable and uneven route. For designing the LQR, a 4th order state-space framework of that VSS is taken into consideration. That conventional LQR is redesigned in this strategy using the genetic algorithm concept to improve control execution. Comparison of the results between several well-known control techniques is used to establish acceptance of the enhanced LQR control execution. The relative results clearly shows the improved application of the suggested method to keep track of the VSS dynamics within a consistent assortment in relation to robustness, precision and stability.