• 中国科技核心期刊
  • JST收录期刊
SANG Hong-qiang, LI Can, SUN Xiu-jun. Quantitative Analysis on Longitudinal Velocity and Wave Parameter of Wave Glider[J]. Journal of Unmanned Undersea Systems, 2018, 26(1): 016-22. doi: 10.11993/j.issn.2096-3920.2018.01.003
Citation: SANG Hong-qiang, LI Can, SUN Xiu-jun. Quantitative Analysis on Longitudinal Velocity and Wave Parameter of Wave Glider[J]. Journal of Unmanned Undersea Systems, 2018, 26(1): 016-22. doi: 10.11993/j.issn.2096-3920.2018.01.003

Quantitative Analysis on Longitudinal Velocity and Wave Parameter of Wave Glider

doi: 10.11993/j.issn.2096-3920.2018.01.003
  • Received Date: 2017-11-06
  • Rev Recd Date: 2017-11-28
  • Publish Date: 2018-02-28
  • The longitudinal velocity of a wave glider is influenced by the sea states. It is necessary to explore the relations of the longitudinal velocity of the wave glider with wave height and wave period for improving the dynamic performance of the wave glider. In this study, a dynamic model of the Sea Sentry wave glider was established to obtain the quantitative relation of its longitudinal velocity with the wave height or the wave period, and the simulation results of the longitudinal velocity were compared with the data obtained in sea trials. It is shown that the longitudinal velocity of the wave glider is proportional to the square root of the wave height when the wave period is constant, and is proportional to the reciprocal of the wave period at a certain wave height. In addition, the validity of the proposed dynamic model was verified. This study may provide the basis for structural parameter optimization and subsequent design of the wave gliders.

     

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  • [1]
    Daniel T, Manley J, Trenaman N. The Wave Glider: Enabling a New Approach to Persistent Ocean Observation and Research[J]. Ocean Dynamics, 2011, 61(10): 1509-1520.
    [2]
    Aulicino G, Cotroneo Y, Lacava T, et al. Results of the First Wave Glider Experiment in the Southern Tyrrhenian Sea[J]. Advances in Oceanography and Limnology, 2016, 7(1): 16-35.
    [3]
    Goebel N L, Frolov S, Edwards C A. Complementary Use of Wave Glider and Satellite Measurements: Description of Spatial Decorrelation Scales in Chla Fluorescence across the Pacific Basin[J]. Methods in Oceanography, 2014, 10: 90-103.
    [4]
    Suberg L, Wynn R B, Kooij J V D, et al. Assessing the Potential of Autonomous Submarine Gliders for Ecosystem Monitoring across Multiple Trophic Levels (Plankton to Cetaceans) and Pollutants in Shallow Shelf Seas[J]. Methods in Oceanography, 2014, 10:70-89.
    [5]
    贾立娟. 波浪动力滑翔机双体结构工作机理与动力学行为研究[D]. 天津: 国家海洋技术中心, 2014.
    [6]
    李小涛. 波浪滑翔器动力学建模及其仿真研究[D]. 武汉: 中国舰船研究院, 2014.
    [7]
    廖煜雷, 李晔, 刘涛, 等. 波浪滑翔器技术的回顾与展望[J]. 哈尔滨工程大学学报, 2016, 37(9): 1227-1236.

    Liao Yu-lei, Li Ye, Liu Tao, et al. Unmanned Wave Glider Technology: State of the Art and Perspective[J]. Journal of Harbin Engineering University, 2016, 37(9): 1227-1236.
    [8]
    Li C, Sang H, Sun X, et al. Hydrographic and Meteoro-logical Observation Demonstration with Wave Glider “Black Pearl”[C]//International Conference on Intelligent Robotics and Applications. Cham: Springer, 2017: 790-800.
    [9]
    Kraus N D. Wave Glider Dynamic Modeling, Parameter Identification and Simulation[D]. Hawai: University of Hawai?I, 2012.
    [10]
    Caiti A, Calabro V, Grammatico S, et al. Lagrangian Modeling of the Underwater Wave Glider[C]//Oceans, 2011 IEEE- Spain. Spain: IEEE, 2011: 1-6.
    [11]
    杜晓旭, 崔航, 向祯晖. 基于Kane方法的波浪驱动水下航行器动力学模型建立[J]. 兵工学报, 2016, 37(7): 1236-1244.

    Du Xiao-xu, Cui Hang, Xiang Zhen-hui. The Multi-body System Dynamics Modeling of Wave Driven Underwater Vehicle Based on Kane Method[J]. Acta Armamentarii, 2016, 37(7): 1236-1244.
    [12]
    Tian Bao-qiang, Yu-Jian-cheng, Zhang ai-qun. Dynamic Modeling of Wave Driven Unmanned Surface Vehicle in Longitudinal Profile Based on D-H Approach[J]. 中南大学学报(英文版), 2015, 22(12): 4578-4584.
    [13]
    Tian B, Yu J, Zhang A. Lagrangian Dynamic Modeling of Wave-driven Unmanned Surface Vehicle in Three Dimensions Based on the D-H Approach[C]// IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems. Shenyang, China: IEEE, 2015: 1253-1258.
    [14]
    Smith R, Das J, Hine G, et al. Predicting Wave Glider Speed from Environmental Measurements[C]//Oceans- 2011. Waikoloa, HI, USA: IEEE, 2011: 1-8.
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