Numerical analysis of aerodynamic characteristics for the design of a small ducted fan aircraft

Wang, Zhengjie; Chen, Li; Guo, Shijun

doi:10.1177/0954410012458619

Cited by 9 publications

(6 citation statements)

References 7 publications

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“…The most related works with our research is that of Nikhil's. 2,17,18 He divides the target space into grids using an approximate cellular decomposition, and develops a semi-heuristic approach to compose the flying path of UAVs, which coupled with consideration of UAVs dynamics requirement. In his policy, the UAVs execute the surveillance in an independent manner, rather than in a coordinated formation, which is not adapted for the swarm of MAVs.…”

Section: Related Workmentioning

confidence: 99%

Persistent surveillance for a swarm of micro aerial vehicles by flocking algorithm

2014

Proceedings of the Institution of Mechanical Engineers, Part G:

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Persistent surveillance is a major role envisioned for autonomous unmanned vehicles. The mission of persistent surveillance requires the vehicles to continuously survey a target region. This paper investigates the techniques of persistent surveillance control for a swarm of micro aerial vehicles. We present a flocking algorithm to drive the micro aerial vehicles flying in a coordinate formation with a capability of obstacle avoidance. We propose a new digital pheromone mechanism to control and coordinate the swarms of micro aerial vehicles to search a field of interest and to reduce the uncertainty of every region in the field over time. Simulation results show the effectiveness of our proposed algorithm in generating collision-free persistent surveillance trajectories for a swarm of micro aerial vehicles in a coordinated manner.

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Section: Related Workmentioning

confidence: 99%

Persistent surveillance for a swarm of micro aerial vehicles by flocking algorithm

2014

Proceedings of the Institution of Mechanical Engineers, Part G:

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“…In this paper, we focus on MAVs such as ducted fan aerial vehicles [16] for executing reconnaissance missions. This kind of MAV has a unique aerodynamic shape and excellent flight performance.…”

Section: Coverage Evaluations By Deployment Entropymentioning

confidence: 99%

A Solution to Cooperative Area Coverage Surveillance for a Swarm of MAVs

Wang

2013

International Journal of Advanced Robotic Systems

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Considering that coverage evaluation and control is one of the critical areas in surveillance, in this study we use deployment entropy to assess the coverage quality of a swarm of micro air vehicles (MAVs). Depending on the evaluation result of deployment entropy, we also develop a two-level redeployment algorithm to cope with the MAVs' redeployment problem for maximizing coverage. With the goal of distributing the MAVs evenly over the interested region, we divide the redeployment process into two levels: the global level and the local level. We propose a strategy of MAV redeployment for maximizing the deployment entropy at both levels. From numerical simulation, results show that by computing the value of deployment entropy, it is possible to evaluate the distribution of the MAVs' network in a wide area and the two-level algorithm can improve the sensing coverage of MAVs.

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“…1,2 However, owing to the atmospheric disturbances, gyroscopic effects, and other unpredictable factors, the ducted fan UAVs are easily subject to shaking and other dynamics stability problem. [3][4][5] Therefore, it is particularly important to study its variable-structure parameters to enhance the dynamics stability of the ducted fan UAVs.…”

Section: Introductionmentioning

confidence: 99%

On dynamic characteristics and stability analysis of the ducted fan unmanned aerial vehicles

Chen

Dong

et al. 2019

International Journal of Advanced Robotic Systems

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This article researches the improvement of dynamics stability of the ducted fan unmanned aerial vehicles by optimizing its mechanical–structure parameters. The instability phenomenon of ducted fan unmanned aerial vehicles takes place frequently due to the complicated airflow in near-earth space, which easily leads to the stability problems, such as out of control, shaking, and loss accuracy of command tracking. The dynamics equations mirror its dynamics characteristics, which are primarily influenced by the mechanical–structure parameters of the whole system. Based on this, the optimization of mechanical–structure parameters has a significant to improve the dynamics stability of the whole system. Therefore, this article uses the concept of Lyapunov exponents to build the quantification relationship between system’s mechanical–structure parameters and its motion stability to enhance its stability from viewpoint of mechanical–structural parameter design. The takeoff, landing, and hovering stage are respectively studied and the conclusions suggest that the optimization of mechanical–structure parameters can be used to promote dynamics stability.

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Numerical analysis of aerodynamic characteristics for the design of a small ducted fan aircraft

Cited by 9 publications

References 7 publications

Persistent surveillance for a swarm of micro aerial vehicles by flocking algorithm

Persistent surveillance for a swarm of micro aerial vehicles by flocking algorithm

A Solution to Cooperative Area Coverage Surveillance for a Swarm of MAVs

On dynamic characteristics and stability analysis of the ducted fan unmanned aerial vehicles

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