An Improved Rotation Scheme for Dual-Axis Rotational Inertial Navigation System

被引:47
|
作者
Liu, Zengjun [1 ]
Wang, Lei [1 ]
Li, Kui [1 ]
Sui, Jie [1 ]
机构
[1] Beihang Univ, Sch Instrumentat Sci & Optoelect Engn, Beijing 100191, Peoples R China
基金
中国国家自然科学基金;
关键词
Rotational inertial navigation system; rotation scheme; auto compensation technique; SELF-CALIBRATION METHOD;
D O I
10.1109/JSEN.2017.2703604
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In the rotational inertial navigation system (RINS), the rotation scheme affects the system's performance directly. Improper rotation scheme may excite devices' errors instead of reducing the effects caused by them. RINS should choose a suitable rotation scheme based on the error characteristics of its own. The rotation modulation theory for kinds of errors is analyzed, and two rotation schemes, called scheme A and scheme B in this paper, are proposed first. After the merits and demerits of the two schemes are discussed, an improved rotation scheme, called scheme C, is put forward. Scheme C can compensate scale factor errors, biases and installation errors of inertial sensors by rotating inertial measurement unit along the yaw axis and horizontal axis alternately. The simulations based on MATLAB are conducted in specific conditions; the results indicate that the performances of the three schemes are great better than that of general strap-down INS, called scheme D in this paper. Among the three schemes proposed, the performance of scheme C is the best. Experimental results in a real dual-axis rotational inertial navigation system based on fiber optic gyro show that the radical direction position error of the system is about 0.7 n mile in 12 h if scheme C is adopted, which verify the practicability of the rotation scheme proposed in this paper.
引用
收藏
页码:4189 / 4196
页数:8
相关论文
共 50 条
  • [1] A Dual-Axis Rotation Scheme for Redundant Rotational Inertial Navigation System
    Zhu, Ting
    Wang, Lifen
    Zou, Tao
    Peng, Gao
    [J]. MICROMACHINES, 2023, 14 (02)
  • [2] Design of Enhanced Rotation Scheme for Dual-Axis Rotational Inertial Navigation System
    Jo, Minsu
    Park, Usung
    Park, Chanju
    [J]. 2023 3RD INTERNATIONAL CONFERENCE ON ROBOTICS, AUTOMATION AND ARTIFICIAL INTELLIGENCE, RAAI 2023, 2023, : 250 - 253
  • [3] A novel error modulation rotation scheme for dual-axis rotational inertial navigation system
    Wei, Dong
    Guan, Bofan
    Fu, Qiangwen
    Li, Sihai
    [J]. MEASUREMENT SCIENCE AND TECHNOLOGY, 2024, 35 (09)
  • [4] Novel rotation scheme for dual-axis rotational inertial navigation system based on body diagonal rotation of inertial measurement unit
    Wei, Qiushuo
    Zha, Feng
    Chang, Lubin
    [J]. MEASUREMENT SCIENCE AND TECHNOLOGY, 2022, 33 (09)
  • [5] A New Initial Alignment Scheme for Dual-Axis Rotational Inertial Navigation System
    Wei, Dong
    Li, Sihai
    Fu, Qiangwen
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 71
  • [6] Angular Motion Compensation Scheme for Dual-Axis Rotational Inertial Navigation System
    Park, Usung
    Jo, Minsu
    Park, Chanju
    [J]. 2023 3RD INTERNATIONAL CONFERENCE ON ROBOTICS, AUTOMATION AND ARTIFICIAL INTELLIGENCE, RAAI 2023, 2023, : 239 - 242
  • [7] An improved rotation scheme for Tri-axis rotational inertial navigation system
    Zengjun Liu
    Lei Wang
    Wei Wang
    Pengyu Gao
    [J]. Microsystem Technologies, 2017, 23 : 5423 - 5433
  • [8] An improved rotation scheme for Tri-axis rotational inertial navigation system
    Liu, Zengjun
    Wang, Lei
    Wang, Wei
    Gao, Pengyu
    [J]. MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS, 2017, 23 (12): : 5423 - 5433
  • [9] Dual-axis Rotation Scheme for Inertial Navigation System Based on Controllability of Indexing Mechanism
    Mei, Guansong
    Zhang, Fubin
    Chen, Lepeng
    [J]. 2018 3RD IEEE INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND MECHATRONICS (IEEE ICARM), 2018, : 554 - 559
  • [10] Comprehensive Error Compensation for Dual-Axis Rotational Inertial Navigation System
    Zha, Feng
    Chang, Lubin
    He, Hongyang
    [J]. IEEE SENSORS JOURNAL, 2020, 20 (07) : 3788 - 3802