Dynamic soaring of unmanned aerial vehicle within airliner wake vortex in climb regime

The paper presents an analysis of an unmanned aerial vehicle gliding in an airliner wake vortex using the dynamic soaring principle. The goal of dynamic soaring is an improvement of flight performance of the unmanned aerial vehicle following an airliner. The paper extends previously published results of an airliner–unmanned aerial vehicle climb regime flight formation analysis. Wake vortex model, the unmanned aerial vehicle basic parameters including drag polar and an airliner climb profile are taken from previous research. Dynamic soaring simulation within wake vortex is performed and evaluated. The presented results provide insight into energy balance and controllability of the unmanned aerial vehicle flying in an airliner wake vortex.

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Integrated Process Control‐Power Management System Design and Flight Performance Tests for Fuel Cell Powered Mini‐Unmanned Aerial Vehicle

Energy Technology ◽

10.1002/ente.202170031 ◽

2021 ◽

Vol 9 (3) ◽

pp. 2170031

Author(s):

Betül Erdör Türk ◽

Mustafa Hadi Sarul ◽

Ekrem Çengelci ◽

Çiğdem İyigün Karadağ ◽

Fatma Gül Boyacı San ◽

...

Keyword(s):

Fuel Cell ◽

System Design ◽

Power Management ◽

Unmanned Aerial Vehicle ◽

Flight Performance ◽

Performance Tests ◽

Integrated Process ◽

Control Power ◽

Aerial Vehicle ◽

Power Management System

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Engineless Unmanned Aerial Vehicle Propulsion by Dynamic Soaring

Journal of Guidance Control and Dynamics ◽

10.2514/1.43270 ◽

2009 ◽

Vol 32 (5) ◽

pp. 1446-1457 ◽

Cited By ~ 59

Author(s):

Markus Deittert ◽

Arthur Richards ◽

C. A. Toomer ◽

Anthony Pipe

Keyword(s):

Unmanned Aerial Vehicle ◽

Dynamic Soaring ◽

Vehicle Propulsion ◽

Aerial Vehicle

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Comparison of Measured and Computed Flight Performance of a 33-kg Unmanned Aerial Vehicle

Journal of Aerospace Engineering ◽

10.1061/(asce)as.1943-5525.0000547 ◽

2016 ◽

Vol 29 (3) ◽

pp. 04015064

Author(s):

Christopher S. Chaney ◽

Konstantin I. Matveev ◽

Jacob W. Leachman

Keyword(s):

Unmanned Aerial Vehicle ◽

Flight Performance ◽

Aerial Vehicle

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Itinerary setting of unmanned aerial vehicle in the condition of undefined values of the wind parameters in the flight zone

Science and Technology Development Journal ◽

10.32508/stdj.v17i1.1270 ◽

2014 ◽

Vol 17 (1) ◽

pp. 60-66

Author(s):

Quyen Xuan Pham ◽

Trang Thi Doan Vu

Keyword(s):

Unmanned Aerial Vehicle ◽

Flight Performance ◽

Aerial Vehicle

This paper presents the itinerary setting methodology of unmanned aerial vehicle (UAV) when there is no information about the values of th wind parameters in the flight zone in order to improve the flight performance of the UAV.

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Optimal patterns of dynamic soaring with a small unmanned aerial vehicle

Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering ◽

10.1177/0954410016656875 ◽

2016 ◽

Vol 231 (9) ◽

pp. 1593-1608 ◽

Cited By ~ 6

Author(s):

Duo-Neng Liu ◽

Zhong-Xi Hou ◽

Zheng Guo ◽

Xi-Xiang Yang ◽

Xian-Zhong Gao

Keyword(s):

Unmanned Aerial Vehicle ◽

Trajectory Optimization ◽

Horizontal Displacement ◽

Optimization Method ◽

Dynamic Soaring ◽

Direct Collocation ◽

Terminal Constraints ◽

Aerial Vehicle ◽

Optimal Dynamic ◽

Trajectory Pattern

Like albatross, unmanned aerial vehicles can significantly make use of wind gradient to extract energy by the flight technique named dynamic soaring. The research aims to develop a general optimization method to compute all the possible patterns of dynamic soaring with a small unmanned aerial vehicle. A direct collocation approach based on the Runge-Kutta integrator is proposed to solve the trajectory optimization problem for dynamic soaring. The optimal dynamic soaring trajectories are classified into two patterns: closed trajectory pattern and travelling trajectory pattern by applying terminal constraints of zero horizontal displacement and a certain travelling direction, respectively. Using different terminal constrains for heading angle and initial guesses in the optimization process, the former pattern can be divided into two subtypes: O-shaped and 8-shaped trajectories, while the latter one is divided into C-shaped, α-shaped, S-shaped and Ω-shaped trajectories. The characteristics of these patterns and the correlation among patterns are analyzed and discussed.

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Flight planning in multi-unmanned aerial vehicle systems: Nonconvex polygon area decomposition and trajectory assignment

International Journal of Advanced Robotic Systems ◽

10.1177/1729881421989551 ◽

2021 ◽

Vol 18 (1) ◽

pp. 172988142198955

Author(s):

Georgy Skorobogatov ◽

Cristina Barrado ◽

Esther Salamí ◽

Enric Pastor

Keyword(s):

Open Source ◽

Unmanned Aerial Vehicle ◽

Real Case ◽

Flight Performance ◽

Case Scenario ◽

Flight Planning ◽

Area Of Interest ◽

Polygon Area ◽

Vehicle Systems ◽

Aerial Vehicle

Nowadays, it is quite common to have one unmanned aerial vehicle (UAV) working on a task but having a team of UAVs is still rare. One of the problems that prevent us from using teams of UAVs more frequently is flight planning. In this work, we present the first open-source solution ( https://pypi.org/project/pode/ ) for splitting any complex area into multiple parts. The area of interest can be convex or nonconvex and can include any number of no-flight zones. Four solutions, based on the algorithm of Hert and Lumelsky, are tested with the aim of improving the compactness of the partitions. We also show how the shape of the partitions influences flight performance in a real case scenario.

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