Comparative analysis of strategies for a semi-active suspension of a ¼ vehicle
The vehicle suspension isolates the chassis from road irregularities, reacting to forces produced by the tires and the braking torques, always keeping the road tire contact, providing stability and safety. Stability and safety are two antagonistic characteristics in suspension design, when improving...
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EDP Sciences
2018-01-01
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Series: | MATEC Web of Conferences |
Online Access: | https://doi.org/10.1051/matecconf/201821102004 |
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doaj-5f62fbe7c1ff43549378eb934517fe522021-02-02T05:31:14ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012110200410.1051/matecconf/201821102004matecconf_vetomacxiv2018_02004Comparative analysis of strategies for a semi-active suspension of a ¼ vehicleMelo MatheusAvila SuzanaThe vehicle suspension isolates the chassis from road irregularities, reacting to forces produced by the tires and the braking torques, always keeping the road tire contact, providing stability and safety. Stability and safety are two antagonistic characteristics in suspension design, when improving one the other is impaired and vice versa. The semi-active suspension is a type of vehicle suspension that can change its stiffness and/or damping in real time depending on the vehicle response to the actual road profile. The On-Off semi-active suspension changes its damping coefficient between two fixed limit values. This work proposes an On-Off semi-active suspension model, in which the damping coefficient changes its values considering the road profile function frequency. A control strategy is proposed in a way to improve performance keeping the same simplicity, without any structural change of the semi-active suspension. On the proposed control strategy one of the damping coefficients is obtained through the linear quadratic regulator (LQR) algorithm, with the aim to set the coefficient from the gain matrix associated to the velocity of the suspended mass. This model is compared to anothers found in literature.https://doi.org/10.1051/matecconf/201821102004 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Melo Matheus Avila Suzana |
spellingShingle |
Melo Matheus Avila Suzana Comparative analysis of strategies for a semi-active suspension of a ¼ vehicle MATEC Web of Conferences |
author_facet |
Melo Matheus Avila Suzana |
author_sort |
Melo Matheus |
title |
Comparative analysis of strategies for a semi-active suspension of a ¼ vehicle |
title_short |
Comparative analysis of strategies for a semi-active suspension of a ¼ vehicle |
title_full |
Comparative analysis of strategies for a semi-active suspension of a ¼ vehicle |
title_fullStr |
Comparative analysis of strategies for a semi-active suspension of a ¼ vehicle |
title_full_unstemmed |
Comparative analysis of strategies for a semi-active suspension of a ¼ vehicle |
title_sort |
comparative analysis of strategies for a semi-active suspension of a ¼ vehicle |
publisher |
EDP Sciences |
series |
MATEC Web of Conferences |
issn |
2261-236X |
publishDate |
2018-01-01 |
description |
The vehicle suspension isolates the chassis from road irregularities, reacting to forces produced by the tires and the braking torques, always keeping the road tire contact, providing stability and safety. Stability and safety are two antagonistic characteristics in suspension design, when improving one the other is impaired and vice versa. The semi-active suspension is a type of vehicle suspension that can change its stiffness and/or damping in real time depending on the vehicle response to the actual road profile. The On-Off semi-active suspension changes its damping coefficient between two fixed limit values. This work proposes an On-Off semi-active suspension model, in which the damping coefficient changes its values considering the road profile function frequency. A control strategy is proposed in a way to improve performance keeping the same simplicity, without any structural change of the semi-active suspension. On the proposed control strategy one of the damping coefficients is obtained through the linear quadratic regulator (LQR) algorithm, with the aim to set the coefficient from the gain matrix associated to the velocity of the suspended mass. This model is compared to anothers found in literature. |
url |
https://doi.org/10.1051/matecconf/201821102004 |
work_keys_str_mv |
AT melomatheus comparativeanalysisofstrategiesforasemiactivesuspensionofa1⁄4vehicle AT avilasuzana comparativeanalysisofstrategiesforasemiactivesuspensionofa1⁄4vehicle |
_version_ |
1724303535387967488 |