Research on Anti-Disturbance Performance of the Underwater Tractor for Wave Glider
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摘要: 针对波浪滑翔器因自身的弱机动性原因而导致的在受到洋流干扰时无法良好保持其原有航向的缺点, 以及单纯采用控制系统来提高其抗流干扰性能, 带来的因系统频繁操舵导致的平台功耗增加以及操纵系统磨损的不足, 文中以“海哨兵”波浪滑翔器为研究对象, 从结构层面通过计算流体力学(CFD)技术分析不同牵引机展弦比、翼间距、翼板展弦比和不同洋流方向下的水下牵引机在洋流干扰下的航行轨迹, 来进一步分析水下牵引机抗流干扰的结构特点, 得到了水下牵引机相关结构参数与抗扰动性能之间的关系。文中的研究可为水下牵引机结构优化设计提供依据及参考。Abstract: Aiming at the shortcomings that wave gliders cannot maintain original course well when it is disturbed by ocean currents due to their weak maneuverability and the use of simple control system to improve its anti-flow interference performance, which results in increased platform power consumption and the wear of the control system due to the frequent steering. In this paper, the dynamics of “Sea Sentry” wave glider are considered. The trajectory of the underwater tractor with different underwater tractor aspect ratio, wing spacing, aspect ratio of wing and direction of ocean current under ocean current interference is calculated by computational fluid dynamics(CFD) technology and the structural characteristics of the underwater tractor anti-flow interference is analyzed. The relationship between the relevant structure parameters of the underwater tractor and the anti-disturbance performance of the underwater tractor is obtained. This work provides a basis and reference for the design optimization of the underwater tractor structure in the future
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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] Manley J, Willcox S. The Wave Glider: A Persistent Platform for Ocean Science[C]//Proceedings of Oceans 2010 MTS/ IEEE Sydney Conference. Sydney, Australia: IEEE, 2010. [3] Hine R, Willcox S, Hine G, et al. The Wave Glider: A Wave-Powered Autonomous Marine Vehicle[C]//Proceedings of MTS/IEEE Biloxi-Marine Technology for Our Future: Global and Local Challenges. Biloxi, USA: IEEE, 2009. [4] Manley J, Willcox S. The Wave Glider: A New Concept for Deploying Ocean Instrumentation[J]. IEEE Instrumentation & Measurement Magazine, 2010, 13(6): 8-13. [5] Elhadad A, Wenyang D, Rui D. A Computational Fluid Dynamics Method for Resistance Prediction of the Floating Hull of Wave Glider[J]. Advanced Materials Research, 2014, 936: 2114-2119. [6] Elhadad A, Duan W, Deng R. Comparative Investigation of an Automated Oceanic Wave Surface Glider Robot Influence on Resistance Prediction Using CFD Method[J]. Applied Mechanics and Materials, 2015, 710: 91-97. [7] 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. [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] Kraus N D. Wave Glider Dynamic Modeling, Parameter Identification and Simulation[D]. Honolulu: University of Hawaii, 2012: 27-74. [10] Kraus N D, Bingham B. Estimation of Wave Glider Dynamics for Precise Positioning[C]//Proceedings of Oceans 2011 MTS/ IEEE Kona Conference. Kona, USA: IEEE, 2011. [11] Wang L F, Li Y, Liao Y L, et al. Dynamics Modeling of an Unmanned Wave Glider with Flexible Umbilical[J]. Ocean Engineering, 2019, 180: 267-278. [12] Wang P, Tian X L, Lu W Y, et al. Dynamic Modeling and Simulations of the Wave Glider[J]. Applied Mathematical Modelling, 2019, 66: 77-96. [13] 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): e0168792. [14] Liao Y L, Li Y M, Wang L F, et al. Heading Control Method and Experiments for an Unmanned Wave Glider[J]. Journal of Central South University, 2017, 24(11): 2504-2512. [15] Wang L F, Liao Y L, Li Y M, et al. Unmanned Wave Glider Heading Model Identification and Control by Artificial Fish Swarm Algorithm[J]. Journal of Central South University, 2018, 25(9): 2131-2142.
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