A novel redundant INS based on triple rotary inertial measurement units

被引:10
|
作者
Chen, Gang [1 ]
Li, Kui [1 ,2 ]
Wang, Wei [1 ]
Li, Peng [1 ]
机构
[1] Beihang Univ, Sch Instrumentat Sci & Optoelect Engn, 37 Xueyuan Rd, Beijing 100191, Peoples R China
[2] Beihang Univ, Sch Elect & Informat Engn, 37 Xueyuan Rd, Beijing 100191, Peoples R China
基金
中国国家自然科学基金;
关键词
rotational INS; redundancy; rotary unit; FDI; navigation accuracy; NAVIGATION SYSTEMS; CONFIGURATION; SENSORS; DESIGN;
D O I
10.1088/0957-0233/27/10/105102
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Accuracy and reliability are two key performances of inertial navigation system (INS). Rotation modulation (RM) can attenuate the bias of inertial sensors and make it possible for INS to achieve higher navigation accuracy with lower-class sensors. Therefore, the conflict between the accuracy and cost of INS can be eased. Traditional system redundancy and recently researched sensor redundancy are two primary means to improve the reliability of INS. However, how to make the best use of the redundant information from redundant sensors hasn't been studied adequately, especially in rotational INS. This paper proposed a novel triple rotary unit strapdown inertial navigation system (TRUSINS), which combines RM and sensor redundancy design to enhance the accuracy and reliability of rotational INS. Each rotary unit independently rotates to modulate the errors of two gyros and two accelerometers. Three units can provide double sets of measurements along all three axes of body frame to constitute a couple of INSs which make TRUSINS redundant. Experiments and simulations based on a prototype which is made up of six fiber-optic gyros with drift stability of 0.05 degrees h(-1) show that TRUSINS can achieve positioning accuracy of about 0.256 n mile h(-1), which is ten times better than that of a normal non-rotational INS with the same level inertial sensors. The theoretical analysis and the experimental results show that due to the advantage of the innovative structure, the designed fault detection and isolation (FDI) strategy can tolerate six sensor faults at most, and is proved to be effective and practical. Therefore, TRUSINS is particularly suitable and highly beneficial for the applications where high accuracy and high reliability is required.
引用
收藏
页数:12
相关论文
共 50 条
  • [31] Orientation and Displacement Detection for Smartphone Device Based Inertial Measurement Units
    Elarabi, Tarek
    Suprem, Abhijit
    2015 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY (ISSPIT), 2015, : 122 - 126
  • [32] Fault Detection and Isolation in Inertial Measurement Units Based on Bounding Sets
    Bras, Sergio
    Rosa, Paulo
    Silvestre, Carlos
    Oliveira, Paulo
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2015, 60 (07) : 1933 - 1938
  • [33] Residual life prediction based on the state space for inertial measurement units
    Feng, Lei
    Wang, Hongli
    Zhou, Zhijie
    Si, Xiaosheng
    Zou, Hongxing
    Qinghua Daxue Xuebao/Journal of Tsinghua University, 2014, 54 (04): : 508 - 514
  • [34] Enhanced Redundant Measurement-Based Kalman Filter for Measurement Noise Covariance Estimation in INS/GNSS Integration
    Ge, Baoshuang
    Zhang, Hai
    Fu, Wenxing
    Yang, Jianbing
    REMOTE SENSING, 2020, 12 (21) : 1 - 20
  • [35] Design and mechatronic implementation of an accelerometer-based, kinematically redundant inertial measurement unit
    Parsa, K
    Lasky, TA
    Ravani, B
    2005 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS, VOLS 1 AND 2, 2005, : 644 - 651
  • [36] Deep Neural Network Based Inertial Odometry Using Low-Cost Inertial Measurement Units
    Chen, Changhao
    Lu, Chris Xiaoxuan
    Wahlstrom, Johan
    Markham, Andrew
    Trigoni, Niki
    IEEE TRANSACTIONS ON MOBILE COMPUTING, 2021, 20 (04) : 1351 - 1364
  • [37] Wavelet Transform-Based Inertial Neural Network for Spatial Positioning Using Inertial Measurement Units
    Tang, Yong
    Gong, Jianhua
    Li, Yi
    Zhang, Guoyong
    Yang, Banghui
    Yang, Zhiyuan
    REMOTE SENSING, 2024, 16 (13)
  • [38] A Novel Optimal Redundant Inertial Sensor Configuration in Strapdown Inertial Navigation System
    Fu, Li
    Yang, Xi
    Wang, LinLin
    2012 IEEE/ION POSITION LOCATION AND NAVIGATION SYMPOSIUM (PLANS), 2012, : 240 - 246
  • [39] Limb Motion Tracking with Inertial Measurement Units
    Widagdo, Prabancoro Adhi Catur
    Lee, Hsin-Huang
    Kuo, Chung-Hsien
    2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2017, : 582 - 587
  • [40] Fault Detection and Isolation for Inertial Measurement Units
    Bras, S.
    Rosa, P.
    Silvestre, C.
    Oliveira, P.
    2012 IEEE 51ST ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2012, : 600 - 605