TY - GEN
T1 - Fault detection and isolation based on UKFs for a novel ducted fan UAV
AU - Liu, Liyuan
AU - Ma, Yue
AU - Xu, Bin
AU - Xiang, Changle
AU - Yang, Xingbang
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/17
Y1 - 2016/11/17
N2 - This paper presents an online nonlinear actuator fault detection and isolation system, aiming at monitoring monitor the health of a novel ducted fan UAV. In order to cover wider flight envelope, an unscented multiple model adaptive estimation method is introduced as an extension of the EKF-based method. The proposed method provides a bank of UKFs running in parallel, each of which is responsible for completely monitoring corresponding actuator's health. Simulation results shows that locked-in-place and floating faults of the control vanes and failures of the auxiliary ducted fans can be handled with small ambiguity or false detection, rapid response and low computational load, indicating a more efficient operation than EKF-based method. Then, the robustness of the fault detection system is further enhanced by the usage of auxiliary excitation signals.
AB - This paper presents an online nonlinear actuator fault detection and isolation system, aiming at monitoring monitor the health of a novel ducted fan UAV. In order to cover wider flight envelope, an unscented multiple model adaptive estimation method is introduced as an extension of the EKF-based method. The proposed method provides a bank of UKFs running in parallel, each of which is responsible for completely monitoring corresponding actuator's health. Simulation results shows that locked-in-place and floating faults of the control vanes and failures of the auxiliary ducted fans can be handled with small ambiguity or false detection, rapid response and low computational load, indicating a more efficient operation than EKF-based method. Then, the robustness of the fault detection system is further enhanced by the usage of auxiliary excitation signals.
UR - http://www.scopus.com/inward/record.url?scp=85006818104&partnerID=8YFLogxK
U2 - 10.1109/AUS.2016.7748049
DO - 10.1109/AUS.2016.7748049
M3 - Conference contribution
AN - SCOPUS:85006818104
T3 - AUS 2016 - 2016 IEEE/CSAA International Conference on Aircraft Utility Systems
SP - 212
EP - 218
BT - AUS 2016 - 2016 IEEE/CSAA International Conference on Aircraft Utility Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE/CSAA International Conference on Aircraft Utility Systems, AUS 2016
Y2 - 10 October 2016 through 12 October 2016
ER -