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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Main Authors: Melo Matheus, Avila Suzana
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201821102004
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spelling 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
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