A Review on Design Methods of Vertical take-off and landing UAV aircraft

Kumar, Veneet; Sharma, Rajkumar; Sharma, Shailesh; Chandel, Siddharth; Kumar, S. S.

doi:10.1088/1757-899x/1116/1/012142

Cited by 6 publications

(2 citation statements)

References 3 publications

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“…The VTOL (vertical takeoff and landing) UAVs can take off and land vertically on the after-deck using a “Harpoon” or “Bear Trap”. VTOL UAVs have the capability of vertical taking-off and landing, but the shortcomings of a short range and slow speed limit the application in surface reconnaissance and combat [ 4 ]. Although fixed-wing UAVs have advantages in terms of payload and endurance, they still face the following challenges to achieve autonomous landing [ 5 ]: Since the mass of fixed-wing UAVs is generally much larger than that of VTOL UAVs, traditional recovery approaches such as net recovery and parachute recovery are not applicable, so the landing of fixed-wing UAVs requires the help of a runway; The landing speed of fixed-wing UAVs is so high that there is little room for correction in the event of mistakes, so the fault tolerance of the landing of fixed-wing UAVs is much lower than that of manned aircraft; Fixed-wing UAVs usually land on the deck by means of impact.…”

Section: Introductionmentioning

confidence: 99%

Monocular-Vision-Based Precise Runway Detection Applied to State Estimation for Carrier-Based UAV Landing

Weng

Cao

et al. 2022

Sensors

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Improving the level of autonomy during the landing phase helps promote the full-envelope autonomous flight capability of unmanned aerial vehicles (UAVs). Aiming at the identification of potential landing sites, an end-to-end state estimation method for the autonomous landing of carrier-based UAVs based on monocular vision is proposed in this paper, which allows them to discover landing sites in flight by using equipped optical sensors and avoid a crash or damage during normal and emergency landings. This scheme aims to solve two problems: the requirement of accuracy for runway detection and the requirement of precision for UAV state estimation. First, we design a robust runway detection framework on the basis of YOLOv5 (you only look once, ver. 5) with four modules: a data augmentation layer, a feature extraction layer, a feature aggregation layer and a target prediction layer. Then, the corner prediction method based on geometric features is introduced into the prediction model of the detection framework, which enables the landing field prediction to more precisely fit the runway appearance. In simulation experiments, we developed datasets applied to carrier-based UAV landing simulations based on monocular vision. In addition, our method was implemented with help of the PyTorch deep learning tool, which supports the dynamic and efficient construction of a detection network. Results showed that the proposed method achieved a higher precision and better performance on state estimation during carrier-based UAV landings.

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Section: Introductionmentioning

confidence: 99%

Monocular-Vision-Based Precise Runway Detection Applied to State Estimation for Carrier-Based UAV Landing

Weng

Cao

et al. 2022

Sensors

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“…Sizing and analysis of Multi-Prop/rotor UAVs are documented in the literature, see for example, Refs. [6][7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Mission Oriented Multi-Prop UAV Analysis Using Statistical Design Trends

Rand

Khromov

2021

Aerospace

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This paper presents a methodology for the sizing and preliminary analysis of Multi-Prop UAVs. The methodology is founded on design trends that emerge from a vast and unique database that has been collected for such vehicles. The database includes geometry parameters, components’ weight, the power required, and flight performance estimation. For a given mission, the analysis enables optimization of a specific design of a Multi-Prop configuration for either minimal weight or minimal dimensions. As opposed to low-order and relatively simple analyses that are typically used in early design stages, the results presented in this paper include design trends and correlations within existing flying configurations and, therefore, contain many design constraints that typically emerge only during advanced stages of the design process.

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