TY - GEN
T1 - Sensor fault detection for the roll dynamic model of a generic delta-wing aircraft
AU - Deghat, Mohammad
AU - Lampiri, Evangelia
AU - Bishop, Adrian N.
N1 - Publisher Copyright:
© 2016 Engineers Australia.
PY - 2017/3/1
Y1 - 2017/3/1
N2 - This paper proposes a fault detection algorithm for the roll dynamic model of a generic delta-wing aircraft. It is assumed that the system model has some noise/uncertainties and the measured roll angle and roll rate used by the control law are faulty/under attack. The proposed fault detection algorithm employs a fault detection estimator and adaptive thresholds to detect the occurrence of a fault in the sensor measurements. Simulation results are presented to show the performance of the proposed algorithm.
AB - This paper proposes a fault detection algorithm for the roll dynamic model of a generic delta-wing aircraft. It is assumed that the system model has some noise/uncertainties and the measured roll angle and roll rate used by the control law are faulty/under attack. The proposed fault detection algorithm employs a fault detection estimator and adaptive thresholds to detect the occurrence of a fault in the sensor measurements. Simulation results are presented to show the performance of the proposed algorithm.
UR - http://www.scopus.com/inward/record.url?scp=85017036448&partnerID=8YFLogxK
U2 - 10.1109/AUCC.2016.7868209
DO - 10.1109/AUCC.2016.7868209
M3 - Conference contribution
T3 - 2016 Australian Control Conference, AuCC 2016
SP - 317
EP - 322
BT - 2016 Australian Control Conference, AuCC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 Australian Control Conference, AuCC 2016
Y2 - 3 November 2016 through 4 November 2016
ER -