Cargando…

Sensitivity-Based Fault Detection and Isolation Algorithm for Road Vehicle Chassis Sensors

Vehicle control systems such as ESC (electronic stability control), MDPS (motor-driven power steering), and ECS (electronically controlled suspension) improve vehicle stability, driver comfort, and safety. Vehicle control systems such as ACC (adaptive cruise control), LKA (lane-keeping assistance),...

Descripción completa

Detalles Bibliográficos
Autores principales: Na, Wonbin, Park, Changwoo, Lee, Seokjoo, Yu, Seongo, Lee, Hyeongcheol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111285/
https://www.ncbi.nlm.nih.gov/pubmed/30126208
http://dx.doi.org/10.3390/s18082720
_version_ 1783350625203912704
author Na, Wonbin
Park, Changwoo
Lee, Seokjoo
Yu, Seongo
Lee, Hyeongcheol
author_facet Na, Wonbin
Park, Changwoo
Lee, Seokjoo
Yu, Seongo
Lee, Hyeongcheol
author_sort Na, Wonbin
collection PubMed
description Vehicle control systems such as ESC (electronic stability control), MDPS (motor-driven power steering), and ECS (electronically controlled suspension) improve vehicle stability, driver comfort, and safety. Vehicle control systems such as ACC (adaptive cruise control), LKA (lane-keeping assistance), and AEB (autonomous emergency braking) have also been actively studied in recent years as functions that assist drivers to a higher level. These DASs (driver assistance systems) are implemented using vehicle sensors that observe vehicle status and send signals to the ECU (electronic control unit). Therefore, the failure of each system sensor affects the function of the system, which not only causes discomfort to the driver but also increases the risk of accidents. In this paper, we propose a new method to detect and isolate faults in a vehicle control system. The proposed method calculates the constraints and residuals of 12 systems by applying the model-based fault diagnosis method to the sensor of the chassis system. To solve the inaccuracy in detecting and isolating sensor failure, we applied residual sensitivity to a threshold that determines whether faults occur. Moreover, we applied a sensitivity analysis to the parameters semi-correlation table to derive a fault isolation table. To validate the FDI (fault detection and isolation) algorithm developed in this study, fault signals were injected and verified in the HILS (hardware-in-the-loop simulation) environment using an RCP (rapid control prototyping) device.
format Online
Article
Text
id pubmed-6111285
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-61112852018-08-30 Sensitivity-Based Fault Detection and Isolation Algorithm for Road Vehicle Chassis Sensors Na, Wonbin Park, Changwoo Lee, Seokjoo Yu, Seongo Lee, Hyeongcheol Sensors (Basel) Article Vehicle control systems such as ESC (electronic stability control), MDPS (motor-driven power steering), and ECS (electronically controlled suspension) improve vehicle stability, driver comfort, and safety. Vehicle control systems such as ACC (adaptive cruise control), LKA (lane-keeping assistance), and AEB (autonomous emergency braking) have also been actively studied in recent years as functions that assist drivers to a higher level. These DASs (driver assistance systems) are implemented using vehicle sensors that observe vehicle status and send signals to the ECU (electronic control unit). Therefore, the failure of each system sensor affects the function of the system, which not only causes discomfort to the driver but also increases the risk of accidents. In this paper, we propose a new method to detect and isolate faults in a vehicle control system. The proposed method calculates the constraints and residuals of 12 systems by applying the model-based fault diagnosis method to the sensor of the chassis system. To solve the inaccuracy in detecting and isolating sensor failure, we applied residual sensitivity to a threshold that determines whether faults occur. Moreover, we applied a sensitivity analysis to the parameters semi-correlation table to derive a fault isolation table. To validate the FDI (fault detection and isolation) algorithm developed in this study, fault signals were injected and verified in the HILS (hardware-in-the-loop simulation) environment using an RCP (rapid control prototyping) device. MDPI 2018-08-18 /pmc/articles/PMC6111285/ /pubmed/30126208 http://dx.doi.org/10.3390/s18082720 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Na, Wonbin
Park, Changwoo
Lee, Seokjoo
Yu, Seongo
Lee, Hyeongcheol
Sensitivity-Based Fault Detection and Isolation Algorithm for Road Vehicle Chassis Sensors
title Sensitivity-Based Fault Detection and Isolation Algorithm for Road Vehicle Chassis Sensors
title_full Sensitivity-Based Fault Detection and Isolation Algorithm for Road Vehicle Chassis Sensors
title_fullStr Sensitivity-Based Fault Detection and Isolation Algorithm for Road Vehicle Chassis Sensors
title_full_unstemmed Sensitivity-Based Fault Detection and Isolation Algorithm for Road Vehicle Chassis Sensors
title_short Sensitivity-Based Fault Detection and Isolation Algorithm for Road Vehicle Chassis Sensors
title_sort sensitivity-based fault detection and isolation algorithm for road vehicle chassis sensors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111285/
https://www.ncbi.nlm.nih.gov/pubmed/30126208
http://dx.doi.org/10.3390/s18082720
work_keys_str_mv AT nawonbin sensitivitybasedfaultdetectionandisolationalgorithmforroadvehiclechassissensors
AT parkchangwoo sensitivitybasedfaultdetectionandisolationalgorithmforroadvehiclechassissensors
AT leeseokjoo sensitivitybasedfaultdetectionandisolationalgorithmforroadvehiclechassissensors
AT yuseongo sensitivitybasedfaultdetectionandisolationalgorithmforroadvehiclechassissensors
AT leehyeongcheol sensitivitybasedfaultdetectionandisolationalgorithmforroadvehiclechassissensors