Predictive Suspension Algorithm for Land Vehicles over Deterministic Topography

A good suspension system is mandatory for ensuring stability, comfort and safety in land vehicles; therefore, advanced semi fully active systems have been developed along with their associated management strategies to overcome the limitations of passive suspensions. This paper presents a algorithm vehicles traveling through deterministic topography. The kinematics half-vehicle model are implemented Simulink. algorithm’s inputs measurements provided by position scanner located on front wheel vehicle. Based this input, reconstructs topography real-time sends corresponding command an actuator rear compensate irregularities terrain. actuation governed parameter “D”, which represents distance over averages height Two ground profiles were tested sensitivity analysis “D” was performed. Results show that larger values usually yield less vibration actuated mass, but value also depends