Aeroelastic analysis of an air-to-air refueling hose–drogue system through an efficient novel mathematical model

Paniagua, K. Salehi; García-Fogeda, Pablo; Arevalo, F.J. Alcazar; Rodriguez, J. Barrera

doi:10.1016/j.jfluidstructs.2020.103164

Cited by 6 publications

(6 citation statements)

References 16 publications

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“…As can be seen in Figures 4 and 5, flutter always occurs via a single mode: there is no modal coupling in any of the studied cases. This type of flutter already appeared in the hose-drogue system without grid fins (see [13]) and can also be found in examples of stall flutter (see, for example, [21]). The flutter mode in all these cases is the first mode of the system, just like in the system without grid fins.…”

Section: Flutter Resultsmentioning

confidence: 68%

“…Therefore, the horizontal motion is coupled with the vertical motion, but not vice-versa, which implies that it is possible to solve the vertical motion of the system independently of the horizontal one. Furthermore, it can be noticed that the lag angle ψ will appear in the aerodynamic contributions of B and K (for more details, see [24]).…”

Section: Unsteady Problemmentioning

confidence: 99%

“…In other words, the flutter solution will be influenced by nonlinearity effects of the static configuration equilibrium. In [24], an overview for the flutter computations of this type of systems is explained. However, in this work, one of the main novelties is the inclusion of the grid fin prototype in the hose-drogue model.…”

Section: Flutter Analysismentioning

confidence: 99%

“…However, the possibility of aeroelastic problems in aerial refueling systems with hoses and drogues have barely been investigated. This paper introduces an analysis of the possibility of flutter-type aeroelastic stability following and extending the model presented in [13]. In order to obtain reliable results, different effects such as the downwash angle induced by the tanker wake, a new modeling of the aerodynamic forces on the hose, an experimental estimation of the structural damping of the system, and the lag between aerodynamic forces and hose motion will be included.…”

Section: Introductionmentioning

confidence: 99%

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Aeroelastic Stability of an Aerial Refueling Hose–Drogue System with Aerodynamic Grid Fins

2023

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In this work, the aeroelastic stability of an aerial refueling system is investigated. The system is formed by a classical hose and drogue, and the novelty of our work is the inclusion of a grid fin configuration to improve its stability. The unsteady aerodynamic forces on the grid fins are determined using the concept of a unit grid fin (UGF). For each UGF, the unsteady aerodynamic forces are computed using the Doublet-Lattice Method, and the forces on the complete grid fins are calculated using interfering factors obtained from wind tunnel measurements for the steady case. The static equilibrium position of the system influences the linearized perturbed unsteady motion of the ensemble. This effect, together with the phase lag angle introduced to account for the unsteady aerodynamic forces in the hose, makes the flutter computation of the complete system a non-typical one. The results show that, by adding the grid fins, the stability of the refueling system is improved, delaying or annulling flutter occurrence.

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Section: Flutter Resultsmentioning

confidence: 68%

Section: Unsteady Problemmentioning

confidence: 99%

Section: Flutter Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Aeroelastic Stability of an Aerial Refueling Hose–Drogue System with Aerodynamic Grid Fins

2023

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“…This model has been successfully applied to CDPRs [26,41]. Additionally, in the study of airborne flexible towing systems, some researchers have modeled the towing cables as continuum models [42][43][44][45], typically analyzing the cable elements to construct partial differential dynamic equations. Other studies have established cable models as concentrated mass models, subdivided into concentrated mass rigid body models [46][47][48][49] and concentrated mass elastic body models [50][51][52].…”

Section: Introductionmentioning

confidence: 99%

Design and Optimization of UAV Aerial Recovery System Based on Cable-Driven Parallel Robot

Wu,

Sun,

Yue

et al. 2024

Biomimetics

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Aerial recovery and redeployment can effectively increase the operating radius and the endurance of unmanned aerial vehicles (UAVs). However, the challenge lies in the effect of the aerodynamic force on the recovery system, and the existing road-based and sea-based UAV recovery methods are no longer applicable. Inspired by the predatory behavior of net-casting spiders, this study introduces a cable-driven parallel robot (CDPR) for UAV aerial recovery, which utilizes an end-effector camera to detect the UAV’s flight trajectory, and the CDPR dynamically adjusts its spatial position to intercept and recover the UAV. This paper establishes a comprehensive cable model, simultaneously considering the elasticity, mass, and aerodynamic force, and the static equilibrium equation for the CDPR is derived. The effects of the aerodynamic force and cable tension on the spatial configuration of the cable are analyzed. Numerical computations yield the CDPR’s end-effector position error and cable-driven power consumption at discrete spatial points, and the results show that the position error decreases but the power consumption increases with the increase in the cable tension lower limit (CTLL). To improve the comprehensive performance of the recovery system, a multi-objective optimization method is proposed, considering the error distribution, power consumption distribution, and safety distance. The optimized CTLL and interception space position coordinates are determined through simulation, and comparative analysis with the initial condition indicates an 83% reduction in error, a 62.3% decrease in power consumption, and a 1.2 m increase in safety distance. This paper proposes a new design for a UAV aerial recovery system, and the analysis lays the groundwork for future research.

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YOLO network-based drogue recognition method for autonomous aerial refueling

Shen

YUAN²,

YANG³

et al. 2022

西北工业大学学报

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With the development of aerial refueling technology, autonomous aerial refueling(AAR) has become an important technology in the future battlefield, which is a promising prospective and challenging topic. Since the relative position between the receiver and the drogue is important to accomplish the AAR task, a neural network-based image recognition method is proposed to acquire the required information. Firstly, a C language-based YOLO network is used as the initial network, which meets the requirements of the on-board VxWorks system and can be run directly on the hardware. Then, considering the physical characterizes of the drogue, a multi-dimensional anchor box is designed and the network structure is optimized to adapt to the multi-dimensional situations. Finally, to address the problem of results shifts, feature maps with various sizes and the optimized loss function are used to optimize the network, where the pyramid structure suggests the design of feature maps. The experimental results indicate that the presented method can recognize the drogue more accurately and quickly.

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Aeroelastic analysis of an air-to-air refueling hose–drogue system through an efficient novel mathematical model

Cited by 6 publications

References 16 publications

Aeroelastic Stability of an Aerial Refueling Hose–Drogue System with Aerodynamic Grid Fins

Aeroelastic Stability of an Aerial Refueling Hose–Drogue System with Aerodynamic Grid Fins

Design and Optimization of UAV Aerial Recovery System Based on Cable-Driven Parallel Robot

YOLO network-based drogue recognition method for autonomous aerial refueling

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