Fault detection and isolation of steering system actuators for an automated vehicle

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademic

Samenvatting

This paper presents a model-based fault diagnosis method applied on the steering system of an automated vehicle. The steering system
is modeled in concatenation with a single track vehicle model. A steering actuator fault as well as user intervention are chosen to be
the faults of interest. To synthesize minimal order residual generators, the Matlab toolbox FDITOOLS is applied which uses rational
nullspace computations to design the fault detection filter. To evaluate the performance of the filter, a simulation model is constructed
which consists of steering system model with driver concatenated with a single track vehicle model. This model is simulated with
parameters obtained from an experimental setup. During the simulations, longitudinal velocity is varied to evaluate robustness of the
filter. The results show that it is possible to detect and isolate the steering actuator fault as well as the user intervention.
Originele taal-2Engels
TitelAdvanced Vehicle Control AVEC’18 - Proceedings of the 14th International Symposium on Advanced Vehicle Control AVEC’18
StatusGepubliceerd - 16 jul 2018
Evenement14th International Symposium on Advanced Vehicle Control (AVEC18) - Beijing, China
Duur: 16 jul 201820 jul 2018
http://avec2018.org/

Congres

Congres14th International Symposium on Advanced Vehicle Control (AVEC18)
Verkorte titelAVEC18
LandChina
StadBeijing
Periode16/07/1820/07/18
Internet adres

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Citeer dit

Hoogeboom, F. N., van der Sande, T. P. J., & Nijmeijer, H. (2018). Fault detection and isolation of steering system actuators for an automated vehicle. In Advanced Vehicle Control AVEC’18 - Proceedings of the 14th International Symposium on Advanced Vehicle Control AVEC’18 [WeE3-1]