scholarly journals Numerical Study of the Effect of Wing Position on the Dynamic Motion Characteristics of an Underwater Glider

2021 ◽  
Vol 28 (2) ◽  
pp. 4-17
Author(s):  
Xiangcheng Wu ◽  
Pengyao Yu ◽  
Guangzhao Li ◽  
Fengkun Li

Abstract Underwater gliders are winged, autonomous underwater vehicles that are broadly applied in physical and biological oceanography. The position of the wing has an important effect on the movement performance of the underwater glider. In this paper, the dynamic motion of a series of underwater glider models with different longitudinal wing positions are simulated, which provides guidance for the design of underwater gliders. The results show that when the net buoyancy is constant, the wing position affects the gliding angle, but does not affect the relationship between the gliding angle and the gliding speed. In addition, the farther the wing position of the glider is from the buoyancy centre, the longer it takes for the attitude of a glider to change, whether the wing is in front of, or behind, the buoyancy centre.

2012 ◽  
Vol 490-495 ◽  
pp. 1326-1331
Author(s):  
Bao Wei Song ◽  
Wen Long Tian ◽  
Zhao Yong Mao

Underwater gliders are a class of Autonomous Underwater Vehicles (AUVs) that offer many advantages over traditional AUVs. Previous research has mainly focused on underwater gliders with fixed wings. This paper studied a novel underwater glider whose wings can pitch independently about its installed shaft, called Movable-Winged Underwater Glider (MWUG). A 6-DOF model of dynamics for MWUG was developed based on Newton’s law and Euler’s equation, gravity, buoyancy, added mass forces and hydrodynamic forces considered. Longitudinal motion simulations were conducted to clarify the motion characteristics of MWUG. Results of the simulations indicated that compared to fix-winged gliders, MWUGs show a smaller glide angle and attack angle, higher glide speed and efficiency


2013 ◽  
Vol 694-697 ◽  
pp. 577-581
Author(s):  
Gang Xiong ◽  
Jian Jiang ◽  
Yi Tao Wu ◽  
Jun Chen

The hybrid-driven underwater glider (HUG) is a new kind of underwater vehicle; it combines the best features of autonomous underwater vehicles and underwater gliders, and can be used as important platforms for marine environment observation and ocean resource exploration. It’s difficult to get the drag coefficient of HUG through theoretical formula. In this paper, we use analysis software Fluent to analyze the HUG with different attack-angle and velocities, get the lift 、 drag coefficient and lift-drag ratio, and determine the biggest lift-drag ratio of HUG in the attack- angle of 6 degrees.


Author(s):  
Hiroyoshi Suzuki ◽  
Tomoya Inoue ◽  
Yoshitaka Watanabe ◽  
Hiroshi Yoshida ◽  
Risa Kitamoto ◽  
...  

Recently, several underwater vehicles (UVs) including autonomous underwater vehicles (AUVs) and remotely operated vehicles (ROVs) have been developed. The purpose that such UVs are applied is various and the required performance for the UVs are also various. For example, they are oceanographic survey with long-distance cruising, plankton investigatory with high maneuverability and so on. Therefore, suitable UV for the mission is should be designed. In the above examples, UV that has the low resistance form is suitable for long-distance cruising; UV with low added mass form is suitable for plankton investigatory. Form the above viewpoint; we began working on a project to improve the UV’s hull form. Firstly, we focus on the resistance performance of UV within the resistance performance and maneuverability of UV. Using experimental and numerical methods, the relationship between the resistance performance and the UV’s hull form are investigated. In this paper, the part of the above results is introduced.


2013 ◽  
Vol 47 (5) ◽  
pp. 84-96 ◽  
Author(s):  
Stephen L. Wood ◽  
Cheryl E. Mierzwa

AbstractOver the last few decades, a range of instruments and vehicles have been used to monitor the oceans. One example is the use of autonomous underwater vehicles to perform ocean surveys, and within this group, autonomous underwater gliders have made their mark. Gliders enable the scientist to make extended complex studies on topics such as the effect of metals, pesticides, and nutrients on fish abundance, reproductive success, and ability to feed or on contaminants such as chemicals or biological toxins that are transported in particulate form and may become incorporated into living organisms (plankton, bivalves, and fish) or become deposited in bottom sediments. With these vehicles, the scientist or environmentalist can detect hazardous substances in the ocean such as chemicals from an oil spill or toxic algae such as red tide.


2019 ◽  
Vol 16 (3) ◽  
pp. 172988141985318
Author(s):  
Zheng Cong ◽  
Ye Li ◽  
Yanqing Jiang ◽  
Teng Ma ◽  
Yusen Gong ◽  
...  

This article presents a comparison of different path-planning algorithms for autonomous underwater vehicles using terrain-aided navigation. Four different path-planning methods are discussed: the genetic algorithm, the A* algorithm, the rapidly exploring random tree* algorithm, and the ant colony algorithm. The goal of this article is to compare the four methods to determine how to obtain better positioning accuracy when using terrain-aided navigation as a means of navigation. Each algorithm combines terrain complexity to comprehensively consider the motion characteristics of the autonomous underwater vehicles, giving reachable path between the start and end points. Terrain-aided navigation overcomes the challenges of underwater domain, such as visual distortion and radio frequency signal attenuation, which make landmark-based localization infeasible. The path-planning algorithms improve the terrain-aided navigation positioning accuracy by considering terrain complexity. To evaluate the four algorithms, we designed simulation experiments that use real-word seabed bathymetry data. The results of autonomous underwater vehicle navigation by terrain-aided navigation in these four cases are obtained and analyzed.


Author(s):  
Surasak Phoemsapthawee ◽  
Marc Le Boulluec ◽  
Jean-Marc Laurens ◽  
Franc¸ois Deniset

Underwater gliders are AUVs used in ocean exploration and observation. They use small changes in their buoyancy to dive and to return to the ocean surface. During the change of altitude, they use the hydrodynamic forces developed by their wings to move forward. Their flights are controlled by changing the position of their centers of gravity and their buoyancy to adjust their trim and their heel angles. For better flight control, the understanding of the hydrodynamic behavior and the flight mechanics of the underwater glider is necessary. A 6-DOF motion simulator is coupled with a BEM code for this purpose. In some specific cases, the numerical study demonstrates that an inappropriate stabilizer dimension can cause a counter-steering behavior. The simulator can be used to improve the automatic flight control. It can also be used for the hydrodynamic design optimization of the devices.


2020 ◽  
Vol 70 (2) ◽  
pp. 214-220
Author(s):  
R.V. Shashank Shankar ◽  
Rajagopalan Vijayakumar

 Autonomous underwater gliders are a class of underwater vehicles that transit without the help of a conventional propeller. The vehicle uses a buoyancy engine to vary its buoyancy and with the help of the wings attached executes its motion. The hydrodynamic characteristics of the vehicle affect the longitudinal and turning motion. This paper discusses the effect of the wing’s position on the vehicle’s lift and drag characteristics. Computational fluid dynamics (CFD) tool is used to estimate the lift, drag, and pitching moment coefficients of the vehicle. The numerical methodology is validated using flow over NACA0012 wing results for low Reynolds numbers, and the results of CFD are discussed for possible application in estimation of glider motion.


Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Wenlong Tian ◽  
Zhaoyong Mao ◽  
Fuliang Zhao ◽  
Zhicao Zhao

This paper presents an optimization method for the design of the layout of an autonomous underwater vehicles (AUV) fleet to minimize the drag force. The layout of the AUV fleet is defined by two nondimensional parameters. Firstly, three-dimensional computational fluid dynamics (CFD) simulations are performed on the fleets with different layout parameters and detailed information on the hydrodynamic forces and flow structures around the AUVs is obtained. Then, based on the CFD data, a back-propagation neural network (BPNN) method is used to describe the relationship between the layout parameters and the drag of the fleet. Finally, a genetic algorithm (GA) is chosen to obtain the optimal layout parameters which correspond to the minimum drag. The optimization results show that (1) the total drag of the AUV fleet can be reduced by 12% when the follower AUV is located directly behind the leader AUV and (2) the drag of the follower AUV can be reduced by 66% when it is by the side of the leader AUV.


2008 ◽  
Vol 123 (5) ◽  
pp. 3007-3007
Author(s):  
Gerald D'Spain ◽  
Richard Zimmerman ◽  
Scott A. Jenkins ◽  
Dennis B. Rimington ◽  
James C. Luby ◽  
...  

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