Publication: Predictive Suspension Algorithm for Land Vehicles over Deterministic Topography
dc.affiliation.area | UC3M. Área de Ingeniería Mecánica | es |
dc.affiliation.dpto | UC3M. Departamento de Ingeniería Mecánica | es |
dc.affiliation.grupoinv | UC3M. Grupo de Investigación: MAQLAB: Laboratorio de Máquinas | es |
dc.contributor.author | Bustos Caballero, Alejandro | |
dc.contributor.author | Meneses Alonso, Jesús | |
dc.contributor.author | Rubio Alonso, Higinio | |
dc.contributor.author | Soriano Heras, Enrique | |
dc.contributor.funder | Ministerio de Ciencia e Innovación (España) | es |
dc.date.accessioned | 2022-06-08T08:35:35Z | |
dc.date.available | 2022-06-08T08:35:35Z | |
dc.date.issued | 2022-05 | |
dc.description.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. | en |
dc.description.sponsorship | The research work described in this paper is part of the R&D and Innovation projects MC4.0 PID2020-116984RB-C21 and MC4.0 PID2020-116984RB-C22 supported by the MCIN/AEI/10.13039/ 501100011033. | en |
dc.format.extent | 20 | |
dc.identifier.bibliographicCitation | 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 | en |
dc.identifier.doi | https://doi.org/10.3390/math10091467 | |
dc.identifier.issn | 2227-7390 | |
dc.identifier.publicationfirstpage | 1467 | |
dc.identifier.publicationissue | 9 | |
dc.identifier.publicationlastpage | 1487 | |
dc.identifier.publicationtitle | Mathematics | en |
dc.identifier.publicationvolume | 10 | |
dc.identifier.uri | https://hdl.handle.net/10016/35028 | |
dc.identifier.uxxi | AR/0000030753 | |
dc.language.iso | eng | en |
dc.publisher | MDPI AG | en |
dc.relation.projectID | Gobierno de España. PID2020-116984RB-C22 | es |
dc.relation.projectID | Gobierno de España. PID2020-116984RB-C21 | es |
dc.relation.projectID | Gobierno de España. MCIN/AEI/10.13039/501100011033 | es |
dc.rights | © 2022 by the authors. Licensee MDPI, Basel, Switzerland. | en |
dc.rights | Atribución 3.0 España | * |
dc.rights.accessRights | open access | en |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject.eciencia | Ingeniería Mecánica | es |
dc.subject.other | Suspension algorithm | en |
dc.subject.other | Predictive suspension | en |
dc.subject.other | Land vehicle | en |
dc.subject.other | Sprung mass | en |
dc.title | Predictive Suspension Algorithm for Land Vehicles over Deterministic Topography | en |
dc.type | research article | * |
dc.type.hasVersion | VoR | * |
dspace.entity.type | Publication |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- Predictive_MATHEMATICS_2022.pdf
- Size:
- 3.91 MB
- Format:
- Adobe Portable Document Format