TY - GEN
T1 - Design of External Damping Network and Discretization Algorithm for Long-endurance Inertial Navigation System
AU - Liu, Yang
AU - Yang, Gongliu
AU - Cai, Qingzhong
AU - Wang, Lifen
AU - Wang, Suier
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/12
Y1 - 2020/12
N2 - Shipborne strapdown inertial navigation system (SINS) need to ensure long-term navigation accuracy and reliability. When SINS is used for a long time, without the assistance of external information, due to the drift of the inertial devices, the navigation results show divergent characteristics after integral operation. Horizontal damping introduces a damping network in the Schuler cycle of the system, so that the Schuler periodic oscillation error is damped. Compared with Kalman integrated navigation, the damping navigation system has better long-term stability. Through reasonable parameter settings damping network can ensure that navigation results do not diverge for a long time. This paper firstly constructs the external horizontal damping network, and then introduces bilinear transformation to derive the discretization damping method in detail. Simulation results show that the discretization damping network can ensure the reliable positioning accuracy during the long-term operation of the system, which proves that the damping network and the discretization method have broad application prospects.
AB - Shipborne strapdown inertial navigation system (SINS) need to ensure long-term navigation accuracy and reliability. When SINS is used for a long time, without the assistance of external information, due to the drift of the inertial devices, the navigation results show divergent characteristics after integral operation. Horizontal damping introduces a damping network in the Schuler cycle of the system, so that the Schuler periodic oscillation error is damped. Compared with Kalman integrated navigation, the damping navigation system has better long-term stability. Through reasonable parameter settings damping network can ensure that navigation results do not diverge for a long time. This paper firstly constructs the external horizontal damping network, and then introduces bilinear transformation to derive the discretization damping method in detail. Simulation results show that the discretization damping network can ensure the reliable positioning accuracy during the long-term operation of the system, which proves that the damping network and the discretization method have broad application prospects.
KW - Discretization algorithm
KW - Horizontal damping network
KW - Long-term navigation
KW - Shipborne SINS
UR - https://www.scopus.com/pages/publications/85116380212
U2 - 10.1109/ICISCE50968.2020.00110
DO - 10.1109/ICISCE50968.2020.00110
M3 - 会议稿件
AN - SCOPUS:85116380212
T3 - Proceedings - 2020 7th International Conference on Information Science and Control Engineering, ICISCE 2020
SP - 498
EP - 502
BT - Proceedings - 2020 7th International Conference on Information Science and Control Engineering, ICISCE 2020
A2 - Li, Shaozi
A2 - Dai, Ying
A2 - Ma, Jianwei
A2 - Cheng, Yun
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Information Science and Control Engineering, ICISCE 2020
Y2 - 18 December 2020 through 20 December 2020
ER -