波浪滑翔器波浪驱动速度与海浪参数映射关系研究

孙秀军; 李宗萱; 杨 燕; 周 莹; 桑宏强

doi:10.11993/j.issn.2096-3920.2020.05.001

波浪滑翔器波浪驱动速度与海浪参数映射关系研究

doi: 10.11993/j.issn.2096-3920.2020.05.001

孙秀军^1,2,4,
李宗萱¹,
杨燕^1*,,
周莹³,
桑宏强⁵

1.
青岛科技大学自动化与电子工程学院, 山东青岛, 266061
2.
中国海洋大学物理海洋教育部重点实验室, 山东青岛, 266100
3.
中国海洋大学海洋高等研究院, 山东青岛, 266100
4.
青岛海洋科学与技术试点国家实验室, 山东青岛, 266237
5.
天津工业大学机械工程学院, 天津, 300387

基金项目: 国家重点研发计划重点专项(2017YFC0305902); 山东省重大科技创新工程项目(2019JZZY020701); 天津市自然科学基金重点基金(18JCZDJC40100); 青岛海洋科学与技术国家实验室“问海计划”项目(2017WHZZB0101).

详细信息

通讯作者:
杨燕(1983-), 女, 博士, 讲师, 主要研究方向为高端海洋移动观测技术与装备.

中图分类号: TJ630 U674.941 O353.2
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- 文章访问数: 272
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- 被引次数: 0
出版历程
- 收稿日期: 2020-03-09
- 修回日期: 2020-04-10
- 刊出日期: 2020-10-31

Mapping Relationship between Wave Parameters and Wave-Driven Velocity of Wave Glider

1.
School of Automation and Electronic Engineering, Qingdao University of Science & Technology, Qingdao 266061, China
2.
Physical Oceanography Laboratory, Ocean University of China, Qingdao 266100, China
3.
Institute for Advanced Ocean Study, Ocean University of China, Qingdao 266100, China
4.
Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China
5.
School of Mechanical Engineering, Tianjin Polytechnic University, Tianjin 300387, China

摘要

摘要: 计算机仿真或水槽实验的方法难以准确反映真实海况下的波高和波周期与波浪滑翔器的波浪驱动速度的映射关系。文中采用“黑珍珠”小型波浪滑翔器搭载声学多普勒流速剖面仪(ADCP)、波浪传感器和全球定位系统等载荷, 获得了波高、波周期、流速以及位置坐标等数据, 利用ADCP底跟踪模式测量的波浪滑翔器对地速度矢量减去ADCP测得的剖面流速矢量, 计算出波浪滑翔器的波浪驱动速度矢量, 建立波浪驱动速度与海浪波高和波周期的散点图, 并采用拟合曲线找出波浪驱动速度与海浪参数之间的映射关系。文中推导出的波浪驱动速度在一定参数范围内与波高呈正相关、与波周期呈负相关的预测模型, 可为波浪滑翔器的波浪动力转换机构优化设计提供指导。
- 波浪滑翔器 /
- 波浪驱动速度 /
- 波高 /
- 波周期 /
- 声学多普勒流速剖面仪 /
- 底跟踪
Abstract: It is difficult to accurately reflect the mapping relationship among the wave height, wave period under real sea con-ditions, and wave-driven velocity of a wave glider via computer simulation or water tank experiments. In this study, wave height, wave period, velocity, and position coordinate data were obtained using an acoustic Doppler current profiler(ADCP), wave sensor, and global positioning system(GPS), which were installed on a Black Pearl wave glider. The wave-driven velocity vector of the wave glider is calculated by subtracting the profile velocity vector from the ground velocity vector. The profile velocity vector is directly measured using the ADCP, whereas the ground velocity is measured using the ADCP bottom tracking mode and GPS data. Finally, scatter plots of wave-driven velocity, wave height, and wave period are constructed, and the mapping relationship between wave-driven velocity and wave parameters is determined by fitting curves. The deduced wave-driven velocity in this study is positively correlated with the wave height and negatively correlated with the wave period within a certain range of parameters. The relationship serves as an important basis for the optimal design of the wave dynamic transfer mechanism of a wave glider.
- wave glider /
- wave-driven velocity /
- wave height /
- wave period /
- acoustic Doppler current profiler(ADCP) /
- bottom tracking

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参考文献(14)

[1]	Hine R, Willcox S, Hine G, et al. The Wave Glider: A Wave-Powered Autonomous Marine Vehicle[C]//Proceedings MTS/IEEE OCEANS 2009. Biloxi, MS, USA: IEEE, 2009: 26-29.
[2]	Manley J, Willcox S. The Wave Glider: A Persistent Platform for Ocean Science[C]//Oceans. Sydney, NSW, Australia: IEEE, 2010: 1-5.
[3]	Liao Y L, Wang L F, Li Y M, et al. The Intelligent Control System and Experiments for an Unmanned Wave Glider[J]. PLOS One, 2016, 11(12): 0168792.
[4]	胡滕艳, 孙秀军, 王兵振, 等. 利用Fluent仿真分析波浪滑翔器的水动力性能[J]. 海洋技术学报, 2018, 37(3): 8-12. Hu Teng-yan, Sun Xiu-jun, Wang Bing-zhen, et al. Simulative Analysis of the Hydrodynamic Performances of Wave Gliders Using Fluent[J]. Journal of Ocean Technology, 2018, 37(3): 8-12.
[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]	田宝强, 俞建成, 张艾群, 等. 波浪驱动无人水面机器人运动效率分析[J]. 机器人, 2014, 36(1): 43-48, 68. Tian Bao-qiang, Yu Jian-cheng, Zhang Ai-qun, et al. Ana- lysis on Movement Efficiency for Wave Driven Un-manned Surface Vehicle[J]. Robot, 2014, 36(1): 43-48, 68.
[7]	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.
[8]	桑宏强, 李灿, 孙秀军. 波浪滑翔器纵向速度与波浪参数定量分析[J]. 水下无人系统学报, 2018, 26(1): 16-22. 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): 16-22.
[9]	Smith R N, Das J, Hine G, et al. Predicting Wave Glider Speed from Environmental Measurements[C]//Proceeding of Oceans 2011 MTS/IEEE Kona Conference. Kona, USA: IEEE, 2011: 1-8.
[10]	Ngo P, Das J, Ogle J, et al. Predicting the Speed of A Wave Glider Autonomous Surface Vehicle from Wave Model Data[C]//Proceedings of the 2014 Australasian Conference on Robotics and Automation. Australian: IEEE, 2014: 2250-2256.
[11]	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.
[12]	孙秀军, 王雷, 桑宏强. “黑珍珠”波浪滑翔器南海台风观测应用[J]. 水下无人系统学报, 2019, 27(5): 562-569. Sun Xiu-jun, Wang Lei, Sang Hong-qiang. Application of Wave Glider “Black Pearl” to Typhoon Observation in South China Sea[J]. Journal of Unmanned Undersea Systems, 2019, 27(5): 562-569.
[13]	文圣长, 余宙文. 海浪理论与计算原理[M]. 北京: 科学出版社, 1985: 127-131.
[14]	Mullison J, Symonds D, Trenaman N. ADCP Data Colle- cted from A Liquid Robotics Wave Glider[C]//Proceedings of the 2011 IEEE/OES/10th Current, Waves and Turbulence Measurement Monterey, CA: IEEE, 2011: 266- 272.