TY - GEN
T1 - Fault diagnosis for vehicle lateral dynamics with robust threshold
AU - Su, Jinya
AU - Chen, Wen Hua
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/5/19
Y1 - 2016/5/19
N2 - This paper investigates the robust fault diagnosis problem for vehicle lateral dynamics, which play a key role in vehicle stability and driving safety. The proposed fault diagnosis system consists of two sub-systems: fault diagnosis observer and robust threshold. By treating faults as disturbances, Disturbance/Uncertainty Estimation technique is used as fault diagnosis observer to generate residuals. Considering that residuals of model-based fault diagnosis are subject to the effect of uncertainties and consequently large false alarm rate may be resulted in, a novel robust threshold is then proposed based on reachability analysis technique for uncertain systems. The proposed fault diagnosis system is finally applied to the accelerometer and gyrometer sensor fault diagnosis problem of vehicle lateral dynamics, where initial states and velocity are considered to be uncertain. Simulation study verifies the effectiveness of the proposed fault diagnosis system.
AB - This paper investigates the robust fault diagnosis problem for vehicle lateral dynamics, which play a key role in vehicle stability and driving safety. The proposed fault diagnosis system consists of two sub-systems: fault diagnosis observer and robust threshold. By treating faults as disturbances, Disturbance/Uncertainty Estimation technique is used as fault diagnosis observer to generate residuals. Considering that residuals of model-based fault diagnosis are subject to the effect of uncertainties and consequently large false alarm rate may be resulted in, a novel robust threshold is then proposed based on reachability analysis technique for uncertain systems. The proposed fault diagnosis system is finally applied to the accelerometer and gyrometer sensor fault diagnosis problem of vehicle lateral dynamics, where initial states and velocity are considered to be uncertain. Simulation study verifies the effectiveness of the proposed fault diagnosis system.
KW - Disturbance observer
KW - Fault diagnosis
KW - Reachability analysis
KW - Robust threshold
KW - Vehicle lateral dynamics
UR - http://www.scopus.com/inward/record.url?scp=84974632958&partnerID=8YFLogxK
U2 - 10.1109/ICIT.2016.7475033
DO - 10.1109/ICIT.2016.7475033
M3 - Conference article published in proceeding or book
AN - SCOPUS:84974632958
T3 - Proceedings of the IEEE International Conference on Industrial Technology
SP - 1777
EP - 1782
BT - Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Conference on Industrial Technology, ICIT 2016
Y2 - 14 March 2016 through 17 March 2016
ER -