Analysis of the Steady-Stream Active Flow Control for the Blended-Winged-Body Underwater Glider

Du, Xiaoxu; Liu, Xin; Song, Yani

doi:10.3390/jmse11071344

Cited by 3 publications

(3 citation statements)

References 22 publications

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“…Currently, research on AFC techniques is dominated by passive and open-loop active flow control, while the investigation on closed-loop active flow control is still in its infancy. In previous research, a detailed analysis of the flow field and hydrodynamic characteristics of the BWB-UG equipped with steady blowing suction active flow control has been conducted [12]. On this basis, a reduced-order model (ROM) investigation for the hydrofoil of the BWB-UG flow control with steady-stream suction and jets based on the POD method was carried out in this paper.…”

Section: Introductionmentioning

confidence: 99%

Investigation on the Reduced-Order Model for the Hydrofoil of the Blended-Wing-Body Underwater Glider Flow Control with Steady-Stream Suction and Jets Based on the POD Method

Wang,

Du,

2024

Actuators

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The rapid acquisition of flow field characterization information is crucial for closed-loop active flow control. The proper orthogonal decomposition (POD) method is a widely used flow field downscaling modeling method to obtain flow characteristics effectively. Based on the POD method, a flow field reduced-order model (ROM) is constructed in this paper for the flow field control of a hydrofoil of a blended-wing-body underwater glider (BWB-UG) with stabilized suction and blowing forces. Compared with the computational fluid dynamics (CFD) simulation, the computational time required to predict the target flow field using the established POD-ROM is only about 0.1 s, which is significantly less than the CFD simulation time. The average relative error of the predicted surface pressure is not more than 6.9%. These results confirm the accuracy and efficiency of the POD-ROM in reconstructing flow characteristics. The timeliness problem of fast flow field prediction in BWB-UG active flow control is solved by establishing a fast prediction model in an innovative way.

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Section: Introductionmentioning

confidence: 99%

Investigation on the Reduced-Order Model for the Hydrofoil of the Blended-Wing-Body Underwater Glider Flow Control with Steady-Stream Suction and Jets Based on the POD Method

Wang,

Du,

2024

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“…In addition, the model, which will be simulated using the free code NgSpice [34], should allow the study of both the evolution and distribution of temperatures in the splat as well as the cooling rate. The network simulation method, like other methodologies [35][36][37][38][39][40], makes it possible to solve coupled systems of partial differential equations that represent the science or engineering problem to be solved. The importance of this method lies in the fact that if any problem is well defined, it can be solved by following a series of application rules.…”

Section: Introductionmentioning

confidence: 99%

Mathematical Modeling and Analysis Using Nondimensionalization Technique of the Solidification of a Splat of Variable Section

Sánchez-Pérez,

Jorde-Cerezo,

Fernández-Roiz

et al. 2023

Mathematics

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In this work, the solidification and cooling process of an irregularly shaped splat is modeled using the network simulation method. The procedure for its implementation, which uses the finite difference method and optimized circuit analysis algorithms, allows the precise incorporation and assessment of the effect of certain conditions in the thermal process, offering its specificity and high performance in numerical simulation. It should be noted, on the one hand, that the geometry used for the simulation has been obtained from experimental splat data visualized using an electron microscope and, on the other hand, that the model implements both the phase change phenomenon and the variability of the material properties with temperature. Finally, the study of the physical behavior of the problem is carried out using the mathematical technique of nondimensionalization, allowing the interpretation of the results obtained by simulation, where the formation of horizontal bars and columns that maintain the structure of the splat while the solidification process is taking place stands out. It is worth highlighting the obtaining, among others, of two monomials. The first relates the phenomenon of radiation to conduction and is equivalent to the Nusselt number with convection, and the second relates the solidification time with the Stefan number.

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“…With the advancement of oceanography research and marine resource exploration, underwater mobile platforms have gained prominence, assuming a pivotal role in various underwater missions including resource exploration, ocean observation, environmental monitoring, and sea area investigations [1][2][3]. These platforms come in various types, such as remotely operated vehicles (ROVs) [4][5][6], autonomous underwater vehicles (AUVs) [7][8][9], and underwater gliders (UGs) [10][11][12]. Among these, the underwater glider (UG) stands out as a buoyancy-driven autonomous robot capable of converting vertical motion into horizontal movement using airfoil technology, allowing it to move forward with minimal power consumption over extended periods [13].…”

Section: Introductionmentioning

confidence: 99%

Analytical Solution of Time-Optimal Trajectory for Heaving Dynamics of Hybrid Underwater Gliders

Vu,

Kim,

Nguyen

et al. 2023

JMSE

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Underwater vehicles have capacity limits for control inputs, within which their time-optimal trajectories (TOTs) can be formulated. In this study, the fastest trajectory for the depth control of a hybrid underwater glider (HUG) was found using buoyancy engines and propellers individually, and the decoupled heave dynamics of the HUG were defined using quadratic hydrodynamic damping. Because buoyancy engines always run at slow speeds, the buoyancy force was formulated based on the constant force rate of the engine. It was assumed that the nominal value of the heave dynamics parameters could be estimated; therefore, the analytical solution of heave dynamics could be formulated using the thrusting saturation and constant buoyancy force rate. Then, the shortest trajectory for depth control of the HUG could be established while considering the actuator saturation. To verify the effectiveness of the TOT in HUG heave dynamics, extensive tracking control simulations following the TOT were conducted. It was found that the proposed TOT helps the HUG reach the desired depth in the shortest arrival time, and its robust depth control showed good tracking performance in the presence of external bounded disturbances.

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Analysis of the Steady-Stream Active Flow Control for the Blended-Winged-Body Underwater Glider

Cited by 3 publications

References 22 publications

Investigation on the Reduced-Order Model for the Hydrofoil of the Blended-Wing-Body Underwater Glider Flow Control with Steady-Stream Suction and Jets Based on the POD Method

Investigation on the Reduced-Order Model for the Hydrofoil of the Blended-Wing-Body Underwater Glider Flow Control with Steady-Stream Suction and Jets Based on the POD Method

Mathematical Modeling and Analysis Using Nondimensionalization Technique of the Solidification of a Splat of Variable Section

Analytical Solution of Time-Optimal Trajectory for Heaving Dynamics of Hybrid Underwater Gliders

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