Optimal active suspension control based on a quarter-car model: An analytical solution

The objective of this paper is to present a new control technique for controlling of an active suspension system with hydraulic dynamics for a non-linear quarter-car model. An optimal law is developed for active suspension by the states estimation with Extended Kalman Filter (EKF) and then the states prediction of a non-linear quarter-car model. The states of quarter-car model are first estimated by EKF and then predicted by Taylor series expansion and finally a control law is introduced by minimising the local differences between the predicted and desired states. The effectiveness of the designed controller is compared with a proportional integral sliding mode controller. The simulations show that under the proposed controller, the car has good passenger comfort and safe manoeuvrability.