Citation

Lopes A, Araújo RE. IEEE Trans. Vehicular Tech. 2020; 69(4): 3590-3603.

Copyright

(Copyright © 2020, IEEE (Institute of Electrical and Electronics Engineers))

DOI

10.1109/TVT.2020.2968961

PMID

unavailable

Abstract

This paper presents an active fault diagnosis (AFD) method with reduced excitation for detection and identification of sensor faults of vehicles in a platoon formation. By introducing a probing signal into the platooning, it will allow an active excitation of the system, reveling a residual component, with the same frequency, that can be explored to obtain a fault identification of specific system faults. A supervisor is introduced to monitor the platoon behavior and activate the auxiliary input whenever the system natural excitation is insufficient for a clear fault diagnosis. This solution will allow the fault diagnosis to behave as active or passive through the adaptive signal provided by the supervisor. A dual Youla-Jabr-Bongiorno-Kucera (YJBK) matrix transfer function, also known as fault signature matrix (FSM) is investigated to get a fault diagnosis. In order to obtain an online identification of specific faults in the system, a Taylor approximation of the FSM is pursued. Computational simulations with a high-fidelity full-vehicle model, provided by CarSim, are carried out to demonstrate the effectiveness of the proposed active approach. A direct comparison between an active and a passive behavior in the same scenario shows that the active fault diagnosis method outperforms the passive approach whenever the dynamic behavior does not provide sufficient excitation. Furthermore, the excitation supervisor is able to significantly reduce the amount of artificial excitation introduced into the system ensuring a more energy efficient active fault diagnosis.

Language: en

Keywords

Acceleration; active excitation; active fault diagnosis method; Actuators; Additives; approximation theory; artificial excitation; Automated highways; CarSim; computational simulations; computer simulation; Connected vehicles; dual Youla-Jabr-Bongiorno-Kucera matrix transfer function; energy efficient active fault diagnosis; excitation supervisor; Fault detection; fault diagnosis; Fault diagnosis; fault identification; fault signature matrix; high-fidelity full-vehicle model; intelligent transportation systems; Intelligent vehicles; platoon behavior; platoon formation; probing signal; reduced excitation; sensor fault detection; sensor fault identification; sensors; specific system faults; system natural excitation; Taylor approximation; Topology; transfer function matrices; vehicle dynamics; Vehicle dynamics