Predictive Suspension Algorithm for Land Vehicles over Deterministic Topography

Alejandro Bustos, Jesus Meneses, Higinio Rubio and Enrique Soriano-Heras
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Alejandro Bustos: Department of Mechanical Engineering, Universidad Carlos III de Madrid, 28911 Leganes, Spain
Jesus Meneses: Department of Mechanical Engineering, Universidad Carlos III de Madrid, 28911 Leganes, Spain
Higinio Rubio: Department of Mechanical Engineering, Universidad Carlos III de Madrid, 28911 Leganes, Spain
Enrique Soriano-Heras: Department of Mechanical Engineering, Universidad Carlos III de Madrid, 28911 Leganes, Spain

Mathematics, 2022, vol. 10, issue 9, 1-20

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

Keywords: suspension algorithm; predictive suspension; land vehicle; sprung mass (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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