GNSS World of China

Volume 46 Issue 3
Jun.  2021
Turn off MathJax
Article Contents
WU Di, HU Gaoling, LU Xingyi, YE Jiemin, ZHANG Lizhen. Adaptive sliding mode heading control of unmanned semi-submersible surveying vehicle[J]. GNSS World of China, 2021, 46(3): 7-14. doi: 10.12265/j.gnss.2021011501
Citation: WU Di, HU Gaoling, LU Xingyi, YE Jiemin, ZHANG Lizhen. Adaptive sliding mode heading control of unmanned semi-submersible surveying vehicle[J]. GNSS World of China, 2021, 46(3): 7-14. doi: 10.12265/j.gnss.2021011501

Adaptive sliding mode heading control of unmanned semi-submersible surveying vehicle

doi: 10.12265/j.gnss.2021011501
  • Received Date: 2021-01-15
    Available Online: 2021-07-05
  • Publish Date: 2021-06-30
  • The ocean is a strategic important for the national high-quality development, and marine monitoring is an important way to understand and develop the ocean. With the continuous implementation of Marine power strategy such as "One Belt And One Road", higher requirements are put forward for Marine surveying equipment. Therefore, using the combined GPS/BDS system and electronic compass to provide high-precision position and heading information, and equipped with monitoring devices, the new unmanned semi-submersible vehicle is applied to marine environmental monitoring. Aiming at the influence of uncertain model parameters and environmental disturbance on the reliability and stability of the heading monitoring of unmanned semi-submersible vehicle, an adaptive sliding mode control (ASMC) method was designed based on the strong robustness of sliding mode control (SMC) and the high adaptability of adaptive control. Theoretical analysis and simulation experiments show that the ASMC is feasible and effective, and has better adaptability and robustness than the traditional proportional plus denriva tive (PD) control, and the system has good transient performance and stability. The designed adaptive sliding mode control method is applied to actual marine monitoring, and the test results show that the control effect is stable, the surveying data is real and reliable, and the surveying efficiency is improved.

     

  • loading
  • [1]
    漆随平, 厉运周. 海洋环境监测技术及仪器装备的发展现状与趋势[J]. 山东科学, 2019, 32(5): 21-30. DOI: 10.3976/j.issn.1002-4026.2019.05.002
    [2]
    蔡陈玉. 基于北斗的船舶监控系统设计与开发[D]. 上海: 上海海洋大学, 2018.
    [3]
    姜少杰, 刘海敌, 王宪. 基于GPS的自动巡航监测船系统的设计与实现[J]. 全球定位系统, 2017, 42(3): 77-81.
    [4]
    王永鼎, 李华南, 钱莹娟. 北斗卫星导航系统在AUV中的应用研究[J]. 全球定位系统, 2018, 43(1): 96-102.
    [5]
    崔秀芳, 李培培, 石福孝, 等. 基于BDS的水质检测仿生鱼控制系统设计[J]. 全球定位系统, 2020, 45(5): 72-76.
    [6]
    申家双, 葛忠孝, 陈长林. 我国海洋测绘研究进展[J]. 海洋测绘, 2018, 38(4): 1-10, 21. DOI: 10.3969/j.issn.1671-3044.2018.04.001
    [7]
    丁福光, 闫志辉. 基于模糊PID串级控制的航迹保持方法[J]. 船舶工程, 2009, 31(1): 35-37. DOI: 10.3969/j.issn.1000-6982.2009.01.010
    [8]
    LORIA A, FOSSEN T I, PANTELEY E. A separation principle for dynamic positioning of ships: theoretical and experimental results[J]. IEEE transactions on control systems technology, 2000, 8(2): 332-343. DOI: 10.1109/87.826804
    [9]
    谷丽丽, 邓志良. 动态模糊神经网络在船舶动力定位中的应用[J]. 船舶工程, 2006(2): 43-46. DOI: 10.3969/j.issn.1000-6982.2006.02.012
    [10]
    HU X, DU J L, SHI J W. Adaptive fuzzy controller design for dynamic positioning system of vessels[J]. Applied ocean research, 2015, 53: 46-53. DOI: 10.1016/j.apor.2015.07.005
    [11]
    刘金琨, 孙富春. 滑模变结构控制理论及其算法研究与进展[J]. 控制理论与应用, 2007, 24(3): 407-418. DOI: 10.3969/j.issn.1000-8152.2007.03.015
    [12]
    赵涛, 何龙, 李卫, 等. 一种半潜式无人艇的设计[J]. 上海海洋大学学报, 2019, 28(2): 313-319.
    [13]
    FOSSEN T I. Guidance and control of ocean vehicles[M]. New Jersey: John Wiley and Sons Inc, 1994.
    [14]
    贵岛, 芳村. 浅水域船的操纵运动数学模型[J]. 日本造船学会志, 1989(718): 20-220.
    [15]
    施生达. 潜艇操纵性[M]. 北京: 国防工业出版社, 2021.
    [16]
    洪剑青, 赵德安, 孙月平, 等. 水产养殖自动导航无人明轮船航向的多模自适应控制[J]. 农业工程学报, 2017, 33(1): 95-101. DOI: 10.11975/j.issn.1002-6819.2017.01.013
    [17]
    康伟, 褚建新, 黄辉, 等. 可回转双桨电力推进船舶运动模型的研究[J]. 中国造船, 2012, 53(1): 107-116.
    [18]
    孙树蕾. 可回转双机双桨船模糊神经网络航向控制[D]. 大连: 大连海事大学, 2015.
    [19]
    胡忠辉. 船舶航向运动非线性自适应及优化控制方法研究[D]. 哈尔滨: 哈尔滨工程大学, 2013.
    [20]
    NOMOTO K, TAGUCHI T, HONDA K, et al. On the steering qualities of ship[J]. International shipbuilding progress, 1957, 4(35): 354-370. DOI: 10.3233/ISP-1957-43504
    [21]
    SLOTINE J-J E. Applied nonlinear control[M]. Upper Saddle River: Prentice Hall, 1991.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(12)  / Tables(3)

    Article Metrics

    Article views (464) PDF downloads(24) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return