Publication: Predictive Suspension Algorithm for Land Vehicles over Deterministic Topography
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2022-05
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MDPI AG
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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.
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Keywords
Suspension algorithm, Predictive suspension, Land vehicle, Sprung mass
Bibliographic citation
Bustos, A., Meneses, J., Rubio, H., & Soriano-Heras, E. (2022). Predictive Suspension Algorithm for Land Vehicles over Deterministic Topography. In Mathematics, 10(9), 1467-1487