Modeling, diagnosis and estimation of actuator faults in vehicle suspensions

Diana Hernández-Alcántara, Juan C. Tudón-Martínez, Luis Amézquita-Brooks, Carlos A. Vivas-López, Rubén Morales-Menéndez

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

© 2015 Elsevier Ltd. This paper deals with the modeling, diagnosis and estimation of faults in automotive Semi-Active (SA) dampers, particularly oil leakages in the actuator. An experimental multiplicative fault model is proposed and statistically validated with an index error of 15% for damper leakage. The fault model is used as design basis for two Fault Detection and Isolation (FDI) frameworks. The Frequency-based Fault Estimator (FFE) is based on the effect of the damper fault in the frequency domain and the Robust Parity Space (RPS) consists in a residual generator sensitive to the fault in the time domain. The model-based FDI systems were experimentally validated in a 1:5 scaled vehicle, fully instrumented and equipped with SA dampers. The experimental results show that, while both approaches represent suitable options for commercial applications, the RPS estimator has the fastest detection time and proportionality to the fault level. In addition, the RPS approach has better robustness to vehicle mass uncertainties. On the other hand, the FFE presents lower sensitivity to road profile and semi-active damper input variations. Additionally, this estimator requires a lower number of sensors and has a lower computational overhead.
Original languageEnglish
Pages (from-to)173-186
Number of pages14
JournalControl Engineering Practice
DOIs
Publication statusPublished - 1 Apr 2016
Externally publishedYes

Fingerprint

Vehicle suspensions
Actuator
Fault
Actuators
Damper
Fault detection
Modeling
Parity
Estimator
Fault Detection and Isolation
Leakage
Sensors
Approach Space
Frequency Domain
Time Domain
Multiplicative
Generator
Model-based
Robustness
Uncertainty

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

Hernández-Alcántara, Diana ; Tudón-Martínez, Juan C. ; Amézquita-Brooks, Luis ; Vivas-López, Carlos A. ; Morales-Menéndez, Rubén. / Modeling, diagnosis and estimation of actuator faults in vehicle suspensions. In: Control Engineering Practice. 2016 ; pp. 173-186.
@article{cb69b2afc8cf492a9029892f75895e72,
title = "Modeling, diagnosis and estimation of actuator faults in vehicle suspensions",
abstract = "{\circledC} 2015 Elsevier Ltd. This paper deals with the modeling, diagnosis and estimation of faults in automotive Semi-Active (SA) dampers, particularly oil leakages in the actuator. An experimental multiplicative fault model is proposed and statistically validated with an index error of 15{\%} for damper leakage. The fault model is used as design basis for two Fault Detection and Isolation (FDI) frameworks. The Frequency-based Fault Estimator (FFE) is based on the effect of the damper fault in the frequency domain and the Robust Parity Space (RPS) consists in a residual generator sensitive to the fault in the time domain. The model-based FDI systems were experimentally validated in a 1:5 scaled vehicle, fully instrumented and equipped with SA dampers. The experimental results show that, while both approaches represent suitable options for commercial applications, the RPS estimator has the fastest detection time and proportionality to the fault level. In addition, the RPS approach has better robustness to vehicle mass uncertainties. On the other hand, the FFE presents lower sensitivity to road profile and semi-active damper input variations. Additionally, this estimator requires a lower number of sensors and has a lower computational overhead.",
author = "Diana Hern{\'a}ndez-Alc{\'a}ntara and Tud{\'o}n-Mart{\'i}nez, {Juan C.} and Luis Am{\'e}zquita-Brooks and Vivas-L{\'o}pez, {Carlos A.} and Rub{\'e}n Morales-Men{\'e}ndez",
year = "2016",
month = "4",
day = "1",
doi = "10.1016/j.conengprac.2015.12.002",
language = "English",
pages = "173--186",
journal = "Control Engineering Practice",
issn = "0967-0661",
publisher = "Elsevier Limited",

}

Modeling, diagnosis and estimation of actuator faults in vehicle suspensions. / Hernández-Alcántara, Diana; Tudón-Martínez, Juan C.; Amézquita-Brooks, Luis; Vivas-López, Carlos A.; Morales-Menéndez, Rubén.

In: Control Engineering Practice, 01.04.2016, p. 173-186.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Modeling, diagnosis and estimation of actuator faults in vehicle suspensions

AU - Hernández-Alcántara, Diana

AU - Tudón-Martínez, Juan C.

AU - Amézquita-Brooks, Luis

AU - Vivas-López, Carlos A.

AU - Morales-Menéndez, Rubén

PY - 2016/4/1

Y1 - 2016/4/1

N2 - © 2015 Elsevier Ltd. This paper deals with the modeling, diagnosis and estimation of faults in automotive Semi-Active (SA) dampers, particularly oil leakages in the actuator. An experimental multiplicative fault model is proposed and statistically validated with an index error of 15% for damper leakage. The fault model is used as design basis for two Fault Detection and Isolation (FDI) frameworks. The Frequency-based Fault Estimator (FFE) is based on the effect of the damper fault in the frequency domain and the Robust Parity Space (RPS) consists in a residual generator sensitive to the fault in the time domain. The model-based FDI systems were experimentally validated in a 1:5 scaled vehicle, fully instrumented and equipped with SA dampers. The experimental results show that, while both approaches represent suitable options for commercial applications, the RPS estimator has the fastest detection time and proportionality to the fault level. In addition, the RPS approach has better robustness to vehicle mass uncertainties. On the other hand, the FFE presents lower sensitivity to road profile and semi-active damper input variations. Additionally, this estimator requires a lower number of sensors and has a lower computational overhead.

AB - © 2015 Elsevier Ltd. This paper deals with the modeling, diagnosis and estimation of faults in automotive Semi-Active (SA) dampers, particularly oil leakages in the actuator. An experimental multiplicative fault model is proposed and statistically validated with an index error of 15% for damper leakage. The fault model is used as design basis for two Fault Detection and Isolation (FDI) frameworks. The Frequency-based Fault Estimator (FFE) is based on the effect of the damper fault in the frequency domain and the Robust Parity Space (RPS) consists in a residual generator sensitive to the fault in the time domain. The model-based FDI systems were experimentally validated in a 1:5 scaled vehicle, fully instrumented and equipped with SA dampers. The experimental results show that, while both approaches represent suitable options for commercial applications, the RPS estimator has the fastest detection time and proportionality to the fault level. In addition, the RPS approach has better robustness to vehicle mass uncertainties. On the other hand, the FFE presents lower sensitivity to road profile and semi-active damper input variations. Additionally, this estimator requires a lower number of sensors and has a lower computational overhead.

U2 - 10.1016/j.conengprac.2015.12.002

DO - 10.1016/j.conengprac.2015.12.002

M3 - Article

SP - 173

EP - 186

JO - Control Engineering Practice

JF - Control Engineering Practice

SN - 0967-0661

ER -