TY - GEN
T1 - Joint transfer alignment and fault diagnosis of inertial navigation network
AU - Xi, Ruiqing
AU - Lan, Jian
N1 - Publisher Copyright:
© 2017 International Society of Information Fusion (ISIF).
PY - 2017/8/11
Y1 - 2017/8/11
N2 - An inertial navigation network (INN) is composed of a high-precision master inertial navigation system (MINS) and multiple low-precision slave inertial navigation systems (SINS). The MINS located at the center of a carrier provides accurate global navigation parameters, while the SINSs at different locations of a carrier provide local navigation parameters. The outputs of the MINS are used to improve the local navigation performance of the SINSs through transfer alignment. However, the SINSs may suffer from abrupt faults which will largely degrade the performance of the transfer alignment and even break down the whole network. To solve this problem, a joint transfer alignment and fault diagnosis (JTAFD) approach is proposed. In JTAFD, we propose a hybrid system with multiple models corresponding to different particular failure modes, respectively. The lever-arm effect with flexure angles is also fully considered in the hybrid system. Then the transfer alignment and fault diagnosis results are jointly obtained. The local navigation parameters of fault SINSs can also be recovered automatically. The effectiveness of the proposed JTAFD approach is demonstrated by simulation results for integrated navigation using an INN on a ship.
AB - An inertial navigation network (INN) is composed of a high-precision master inertial navigation system (MINS) and multiple low-precision slave inertial navigation systems (SINS). The MINS located at the center of a carrier provides accurate global navigation parameters, while the SINSs at different locations of a carrier provide local navigation parameters. The outputs of the MINS are used to improve the local navigation performance of the SINSs through transfer alignment. However, the SINSs may suffer from abrupt faults which will largely degrade the performance of the transfer alignment and even break down the whole network. To solve this problem, a joint transfer alignment and fault diagnosis (JTAFD) approach is proposed. In JTAFD, we propose a hybrid system with multiple models corresponding to different particular failure modes, respectively. The lever-arm effect with flexure angles is also fully considered in the hybrid system. Then the transfer alignment and fault diagnosis results are jointly obtained. The local navigation parameters of fault SINSs can also be recovered automatically. The effectiveness of the proposed JTAFD approach is demonstrated by simulation results for integrated navigation using an INN on a ship.
UR - https://www.scopus.com/pages/publications/85029424714
U2 - 10.23919/ICIF.2017.8009817
DO - 10.23919/ICIF.2017.8009817
M3 - 会议稿件
AN - SCOPUS:85029424714
T3 - 20th International Conference on Information Fusion, Fusion 2017 - Proceedings
BT - 20th International Conference on Information Fusion, Fusion 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th International Conference on Information Fusion, Fusion 2017
Y2 - 10 July 2017 through 13 July 2017
ER -