• 中国科技核心期刊
  • Scopus收录期刊
  • DOAJ收录期刊
  • JST收录期刊
  • Euro Pub收录期刊
Volume 27 Issue 3
 
Turn off MathJax
Article Contents
Article Navigation >  Journal of Unmanned Undersea Systems  > 2019  >  27(3): 272-276
WANG Lei, WANG Guo-chen, FAN Shi-wei. Multi-UUV Navigation Method Based on Particle Swarm Optimization Algorithm[J]. Journal of Unmanned Undersea Systems, 2019, 27(3): 272-276. doi: 10.11993/j.issn.2096-3920.2019.03.006
Citation: WANG Lei, WANG Guo-chen, FAN Shi-wei. Multi-UUV Navigation Method Based on Particle Swarm Optimization Algorithm[J]. Journal of Unmanned Undersea Systems, 2019, 27(3): 272-276. doi: 10.11993/j.issn.2096-3920.2019.03.006
shu

Multi-UUV Navigation Method Based on Particle Swarm Optimization Algorithm

doi: 10.11993/j.issn.2096-3920.2019.03.006
  • 1.

    The First Military Representative Office of the Navy in Harbin, Harbin 150046, China

  • 2.

    School of Instrumental Science and Engineering, Harbin Institute of Technology, Harbin 150001, China

  • Publish Date: 2019-06-30
    Abstract
  • Global positioning system(GPS) cannot be used to correct the accumulated inertial navigation positioning error when inertial navigation system(INS) works underwater. Although traditional geomagnetic matching navigation can solve this problem, this navigation method relies too much on prior geomagnetic map. The authors are inspired by the fact that some of living beings use geomagnetism for navigation, and propose a multi-unmanned undersea vehicle(UUV) bionic cooperative navigation algorithm based on particle swarm optimization. The navigation process is reduced to a multi-objective search problem. Then the navigation tasks are accomplished by sharing the information among UUVs, and the positioning errors of the INS are corrected in real time. Simulation result verifies the effectiveness of the proposed method.

     

    • FullText(HTML)
  • loading
    • References(19)
  • [1]
    胡晓. 水下导航系统的地磁匹配算法研究[D]. 济南: 山东农业大学, 2011.
    [2]
    许真珍, 封锡盛. 多UUV协作系统的研究现状与发展[J]. 机器人, 2007, 29(2): 186-192.
    [3]
    陈玮, 吴泽伟, 吴晓峰. UUV协同探测的现状与发展前景[J]. 舰船电子工程, 2011, 29(2): 6-8.

    Chen Wei, Wu Ze-wei, Wu Xiao-feng. Current Status and Future Directions of UUVs Cooperation Probe[J]. Ship Electronice Engineerin, 2011, 29(2): 6-8.
    [4]
    Goldenberg F. Geomagnetic Navigation beyond the Magnetic Compass[C]//Proceedings of IEEE/ION PLANS 2006. Coronado: IEEE, 2001: 684-694.
    [5]
    刘明雍, 刘坤, 李红, 等. 基于时序进化搜索策略的地磁仿生导航研究[J]. 西北工业大学学报, 2014, 32(6): 894-898.

    Liu Ming-yong, Liu Kun, Li Hong, et al. A Study of Bio-Inspired Geomagnetic Navigation Using Timing Evolution Searching Strategy[J]. Journal of Northwestern Polytechnical University, 2014, 32(6): 894-898.
    [6]
    Benhamou S, Sudre J, Bourjea J, et al. Therole of Geomagnetic Cues in Green Turtle Opensea Navigation[J]. PLoS One, 2011, 6(10): 266-272.
    [7]
    Lohmann K J. Animal Behaviour: Magnetic-field Perception[J]. Nature, 2010, 464: 1140-1142.
    [8]
    Nehmzow U. Scientific Methods in Mobile Robotics [M]. New York: Springer-Verlag, 2005.
    [9]
    Boström J E, Åkesson S, Alerstam T. Where on Earth can Animals Use a Geomagneticbi-coordinate Map for Navigation[J]. Ecography, 2012, 35(11): 1039-1047.
    [10]
    Von Middendorff A. Die Isepiptesen Russlands[J]. Mem. Acad. Sci. St. Petersbourg VI, Ser. Tome., 1855, 8: 1-143.
    [11]
    冯春. 中国近海地磁场基本模型的建立与分析[D]. 青岛:中国海洋大学, 2014.
    [12]
    Liu M, Liu K, Yang P, et al. Bio-inspired Navigation Based on Geomagnetic[C]//Proc.of IEEE International Conference on Robotics and Biomimetics(ROBIO). Shenzhen: IEEE, 2013: 2339-2344.
    [13]
    Kennedy J, Eberhart R. Particle swarm optimization[C]//Proceedings of IEEE International Conference On Neural Networks. Perth, Australia: IEEE, 1995.
    [14]
    Eberhart, R, Kennedy J. A New Optimizer Using Particle Swarm Theory[C]//Proceedings of the Sixth International Symposium on Micro Machine and Human Science. Nagoya: IEEE, 1995: 39-43.
    [15]
    Reynolds C W. Flocks, Herds, and Schools: a Distributed Behavioral Model[J]. Computer Graphics, 1987, 21(4): 25-34.
    [16]
    杨维, 李歧强. 粒子群优化算法综述[J]. 中国工程科学, 2004, 6(5): 87-94.

    Yang Wei, Li Qi-qiang. Survey on Particle Swarm Optimization Algorithm[J]. Engineering Science, 2004, 6(5): 87-94.
    [17]
    Kennedy J, Eberhart R C. Particle Swarm Optimization [C]//Proc IEEE International Conference on Neural Net-works. USA: IEEE, 1995.
    [18]
    Shi Y, Eberhart R C. A Modified Swarm Optimizer[C]// IEEE International Conference of Evolutionary Computation. Anchorage, Alaska: IEEE, 1998.
    [19]
    安振昌, 徐元芳, 王月华. 1950-1980年中国地区主磁场模型的建立及分析[J]. 地球物理学报, 1991, 34(5): 585-593.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 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
    Get Citation
    PDF
    XML

    Article Metrics

    Article Views(747) PDF Downloads(366) Cited by()
    Proportional views
    Related
    Service
    Subscribe
    Copyright：陕ICP备09015163号Address:No. 96, Jinye Road, Xi'an, Shaanxi
    Code：710077Tel: 029-88327279QQ: 767358370
    Email: bianjibu705@sohu.com 767358370@qq.com
    Email Alert RSS
    Taobao
    Micro

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return