Fault Detection for Automotive Shock Absorber
Fault detection for automotive semi-active shock absorbers is a challenge due to the non-linear dynamics and the strong influence of the disturbances such as the road profile. First obstacle for this task, is the modeling of the fault, which has been shown to be of multiplicative nature. Many of t...
Autores principales: | , , |
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Formato: | Artículo |
Lenguaje: | inglés |
Publicado: |
2015
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Acceso en línea: | http://eprints.uanl.mx/14937/1/107.pdf |
_version_ | 1824414196034437120 |
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author | Hernandez Alcantara, Diana Morales Menendez, Ruben Amézquita Brooks, Luis Antonio |
author_facet | Hernandez Alcantara, Diana Morales Menendez, Ruben Amézquita Brooks, Luis Antonio |
author_sort | Hernandez Alcantara, Diana |
collection | Repositorio Institucional |
description | Fault detection for automotive semi-active shock absorbers is a challenge due to the non-linear
dynamics and the strong influence of the disturbances such as the road profile. First obstacle for this task,
is the modeling of the fault, which has been shown to be of multiplicative nature. Many of the most
widespread fault detection schemes consider additive faults. Two model-based fault algorithms for semiactive
shock absorber are compared: an observer-based approach and a parameter identification approach.
The performance of these schemes is validated and compared using a commercial vehicle model that was
experimentally validated. Early results shows that a parameter identification approach is more accurate,
whereas an observer-based approach is less sensible to parametric uncertainty. |
format | Article |
id | eprints-14937 |
institution | UANL |
language | English |
publishDate | 2015 |
record_format | eprints |
spelling | eprints-149372019-07-04T15:17:36Z http://eprints.uanl.mx/14937/ Fault Detection for Automotive Shock Absorber Hernandez Alcantara, Diana Morales Menendez, Ruben Amézquita Brooks, Luis Antonio Fault detection for automotive semi-active shock absorbers is a challenge due to the non-linear dynamics and the strong influence of the disturbances such as the road profile. First obstacle for this task, is the modeling of the fault, which has been shown to be of multiplicative nature. Many of the most widespread fault detection schemes consider additive faults. Two model-based fault algorithms for semiactive shock absorber are compared: an observer-based approach and a parameter identification approach. The performance of these schemes is validated and compared using a commercial vehicle model that was experimentally validated. Early results shows that a parameter identification approach is more accurate, whereas an observer-based approach is less sensible to parametric uncertainty. 2015 Article PeerReviewed text en cc_by_nc_nd http://eprints.uanl.mx/14937/1/107.pdf http://eprints.uanl.mx/14937/1.haspreviewThumbnailVersion/107.pdf Hernandez Alcantara, Diana y Morales Menendez, Ruben y Amézquita Brooks, Luis Antonio (2015) Fault Detection for Automotive Shock Absorber. Journal of Physics: Conference Series, 659. 012037. ISSN 1742-6588 http://doi.org/10.1088/1742-6596/659/1/012037 doi:10.1088/1742-6596/659/1/012037 |
spellingShingle | Hernandez Alcantara, Diana Morales Menendez, Ruben Amézquita Brooks, Luis Antonio Fault Detection for Automotive Shock Absorber |
thumbnail | https://rediab.uanl.mx/themes/sandal5/images/online.png |
title | Fault Detection for Automotive Shock Absorber |
title_full | Fault Detection for Automotive Shock Absorber |
title_fullStr | Fault Detection for Automotive Shock Absorber |
title_full_unstemmed | Fault Detection for Automotive Shock Absorber |
title_short | Fault Detection for Automotive Shock Absorber |
title_sort | fault detection for automotive shock absorber |
url | http://eprints.uanl.mx/14937/1/107.pdf |
work_keys_str_mv | AT hernandezalcantaradiana faultdetectionforautomotiveshockabsorber AT moralesmenendezruben faultdetectionforautomotiveshockabsorber AT amezquitabrooksluisantonio faultdetectionforautomotiveshockabsorber |