LUO H, LIU X X, LIU J W, et al. A method for DVL calibration based on parameter estimation between two point sets[J]. Chinese Journal of Ship Research, 2024, 19(3): 344–352 (in Chinese). DOI: 10.19693/j.issn.1673-3185.03314
Citation: LUO H, LIU X X, LIU J W, et al. A method for DVL calibration based on parameter estimation between two point sets[J]. Chinese Journal of Ship Research, 2024, 19(3): 344–352 (in Chinese). DOI: 10.19693/j.issn.1673-3185.03314

A method for DVL calibration based on parameter estimation between two point sets

More Information
  • Received Date: April 05, 2023
  • Revised Date: May 31, 2023
  • Official website online publication date: July 27, 2023
  • Online first publication date on CNKI: September 14, 2023
© 2024 The Authors. Published by Editorial Office of Chinese Journal of Ship Research. Creative Commons License
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • Objective 

    In order to improve the combined navigation accuracy of unmanned surface vehicles (USVs) by strapdown inertial navigation system (SINS) and doppler range finder (DVL), the DVL error needs to be accurately calibrated.

    Methods 

    This paper carries out error modeling of the installation error angle, lever arm, and scale factor of the DVL, and focuses on the analysis of the impact of the lever arm error term on the combined navigation positioning in the vessels, pointing out the necessity of its calibration; proposes a DVL error calibration method based on the parameter estimation between two point sets, which treats the SINS/GNSS navigation parameters and DVL output parameters as two point sets, converting the calibration problem into an estimation problem of the difference between the two point sets, and using the Kalman filter to estimate the error parameters between the two point sets; using the SVD(singular value decomposition)-based observability analysis to quantify the observability of the filter in different motion condtions, giving the motion recommendations of the carrier during the calibration process.

    Results 

    The results of mathematical simulation and real ship experiments show that the global relative accuracy of the calibrated SINS/DVL algorithm can reach a voyage of 0.122%. During cornering maneuvers, the lever arm causes abrupt changes in SINS/DVL positioning. After compensating for the lever arm, the positioning errors become smoother and the overall positioning error is reduced.

    Conclusion 

    The proposed method provides a feasible way to calibrate each DVL error including the lever arm.

  • [1]
    杨波, 刘烨瑶, 廖佳伟. 载人潜水器——面向深海科考和海洋资源开发利用的“国之重器”[J]. 中国科学院院刊, 2021, 36(5): 622–631.

    YANG B, LIU Y Y, LIAO J W. Manned submersibles—deep-sea scientific research and exploitation of marine resources[J]. Journal of the Chinese Academy of Sciences, 2021, 36(5): 622–631 (in Chinese).
    [2]
    李家良. 水面无人艇发展与应用[J]. 火力与指挥控制, 2012, 37(6): 203–207. doi: 10.3969/j.issn.1002-0640.2012.06.053

    LI J L. Development and application of unmanned surface vehicle[J]. Fire Contral & Command Control, 2012, 37(6): 203–207 (in Chinese). doi: 10.3969/j.issn.1002-0640.2012.06.053
    [3]
    胡常青, 朱玮, 何远清. 无人水面艇自主导航技术[J]. 导航与控制, 2019, 18(1): 19–26,90. doi: 10.3969/j.issn.1674-5558.2019.01.003

    HU C Q, ZHU W, HE Y Q, et al. Autonomous navigation technology of unmanned surface vehicle[J]. Navigation and Control, 2019, 18(1): 19–26,90 (in Chinese). doi: 10.3969/j.issn.1674-5558.2019.01.003
    [4]
    李亮. SINS/DVL 组合导航技术研究[D]. 哈尔滨: 哈尔滨工程大学, 2009.

    LI L. Research of integrated navigation system of SINS/DVL[D]. Harbin: Harbin Engineering University, 2009 (in Chinese).
    [5]
    BELLINGHAM J G, ZHANG Y, BAGGEROER A B. A Doppler velocity log (DVL) aided inertial navigation sys-tem (INS) for an autonomous underwater vehicle (AUV)[J]. IEEE Journal of Oceanic Engineering, 1992, 17(3): 264–271.
    [6]
    LI W L, CHEN M J, ZHANG C, et al. A novel neural network-based SINS/DVL integrated navigation approach to deal with DVL malfunction for underwater vehicles[J/OL]. Mathematical Problems in Engineering, 2020: 1–14. [2020-07-26]. https://www.hindawi.com/journals/mpe/2020/2891572/
    [7]
    刘静晓, 李海兵, 马思乐, 等. AUV组合导航系统中的DVL误差标定技术综述[C]//中国惯性技术学会惯性技术发展动态发展方向研讨会论文集—前沿技术与惯性技术的融合与应用. 辽宁, 大连: 中国惯性技术学会, 2021: 354–359.

    LIU J X, LI H B, MA S L, et al. A review of DVL error calibration techniques in AUV combined navigation systems[C]//Proceedings of the CSIT Workshop on Dynamic Directions in Inertial Technology Development −Integration and Application of Frontier Technologies and Inertial Technologies. Dalian, Liaoling, China: Scociety of Inertial Technology, 2021: 354–359 (in Chinese).
    [8]
    JOYCE T M. On in situ "calibration" of shipboard ADCPs[J]. Journal of Atmospheric and Oceanic Technology, 1989, 6(1): 169–172. doi: 10.1175/1520-0426(1989)006<0169:OISOSA>2.0.CO;2
    [9]
    KINSEY J C, WHITCOMB L L. Adaptive identification on the group of rigid-body rotations and its application to underwater vehicle navigation[J]. IEEE Transactions on Robotics, 2007, 23(1): 124–136. doi: 10.1109/TRO.2006.886829
    [10]
    LV Z P, TANG K G, WU M P. Online estimation of DVL misalignment angle in SINS/DVL integrated navigation system[C]//Proceedings of the 10th International Conference on Electronic Measurement & Instruments. Chengdu, China: IEEE, 2011, 2: 336–339.
    [11]
    刘一麟, 吴美平, 郭妍, 等. 多矢量姿态测量算法综述[J/OL]. 北京航空航天大学学报. [2022-11-21]. https://doi.org/10.13700/j.bh.1001-5965.2022.0325.

    LIU Y L, WU M P, GUO Y, et al. A survey of algorithms for multi-vector attitude determination [J/OL]. Journal of Beijing University of Aeronautics and Astronautics. [2022-11-21]. https://doi.org/10.13700/j.bh.1001-5965.2022.0325 (in Chinese).
    [12]
    LI W L, ZHANG L D, SUN F P, et al. Alignment calibra-tion of IMU and Doppler sensors for precision INS/DVL integrated navigation[J]. Optik, 2015, 126(23): 3872–3876. doi: 10.1016/j.ijleo.2015.07.187
    [13]
    LI D, XU J N, ZHU B, et al. A calibration method of DVL in integrated navigation system based on particle swarm optimization[J]. Measurement, 2022, 187: 110325. doi: 10.1016/j.measurement.2021.110325
    [14]
    LIU J X, LI H B, MA S L, et al. Simultaneous calibration method for Doppler velocity log errors based on a genetic algorithm[J]. IEEE Sensors Journal, 2022, 22(10): 9558–9567. doi: 10.1109/JSEN.2022.3155932
    [15]
    卢道华, 宋世磊, 王佳, 等. SINS/DVL水下组合导航技术发展综述[J]. 控制理论与应用, 2022, 39(7): 1159–1170.

    LU D H, SONG S L, WANG J, et al. Review on the development of SINS/DVL underwater integrated navigation technology[J]. Control Theory and Applications, 2022, 39(7): 1159–1170 (in Chinese).
    [16]
    WANG D, XU X S, YANG Y, et al. A quasi-Newton quaternions calibration method for DVL error aided GNSS[J]. IEEE Transactions on Vehicular Technology, 2021, 70(3): 2465–2477. doi: 10.1109/TVT.2021.3059755
    [17]
    周广涛, 邵剑波, 韩少卫, 等. SVD 可观测度分析方法的改进及组合导航中的应用[J]. 哈尔滨工业大学学报, 2020, 52(4): 52–57. doi: 10.11918/201901109

    ZHOU G T, SHAO J B, HAN S W, et al. Improvement of observable degree analysis method based on SVD and application in integrated navigation[J]. Journal of Harbin Institute of Technology, 2020, 52(4): 52–57 (in Chinese). doi: 10.11918/201901109

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