RT Journal Article
T1 Predictive Suspension Algorithm for Land Vehicles over Deterministic Topography
A1 Bustos Caballero, Alejandro
A1 Meneses Alonso, Jesús
A1 Rubio Alonso, Higinio
A1 Soriano Heras, Enrique
AB A good suspension system is mandatory for ensuring stability, comfort and safety in landvehicles; therefore, advanced semi and fully active suspension systems have been developed alongwith their associated management strategies to overcome the limitations of passive suspensions.This paper presents a suspension algorithm for land vehicles traveling through a deterministictopography. 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 frontwheel of the vehicle. Based on this input, the algorithm reconstructs the topography in real-time andsends the corresponding command to an actuator located on the rear wheel to compensate for theirregularities of the terrain. The actuation is governed by the parameter “D”, which represents thedistance over which the algorithm averages the height of the terrain. Two ground profiles were testedand 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 ofthe terrain.
PB MDPI AG
SN 2227-7390
YR 2022
FD 2022-05
LK https://hdl.handle.net/10016/35028
UL https://hdl.handle.net/10016/35028
LA eng
NO The research work described in this paper is part of the R&D and Innovation projects MC4.0PID2020-116984RB-C21 and MC4.0 PID2020-116984RB-C22 supported by the MCIN/AEI/10.13039/501100011033.
DS e-Archivo
RD 18 jul. 2024