scholarly journals Design and Experiment of a Deformable Bird-inspired UAV Perching Mechanism

2021 ◽  
Author(s):  
Long Bai ◽  
Hao Wang ◽  
Xiaohong Chen ◽  
Jia Zheng ◽  
Liming Xin ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Unmanned Aerial Vehicles ◽  
Acoustic Noise ◽  
Loading Capacity ◽  
Unstructured Environments ◽  
Aerial Vehicles ◽  
Different Types ◽  
Outdoor Environments ◽  
Gear Mechanism ◽  
Opening And Closing

AbstractEnergy consumption and acoustic noise can be significantly reduced through perching in the sustained flights of small Unmanned Aerial Vehicles (UAVs). However, the existing flying perching robots lack good adaptability or loading capacity in unstructured environments. Aiming at solving these problems, a deformable UAV perching mechanism with strong adaptability and high loading capacity, which is inspired by the structure and movements of birds' feet, is presented in this paper. Three elastic toes, an inverted crank slider mechanism used to realize the opening and closing movements, and a gear mechanism used to deform between two configurations are included in this mechanism. With experiments on its performance towards different objects, Results show that it can perch on various objects reliably, and its payload is more than 15 times its weight. By integrating it with a quadcopter, it can perch on different types of targets in outdoor environments, such as tree branches, cables, eaves, and spherical lamps. In addition, the energy consumption of the UAV perching system when perching on objects can be reduced to 0.015 times that of hovering.

FEATURES OF ACOUSTIC NOISE OF SMALL UNMANNED AERIAL VEHICLES

2020 ◽  
Vol 79 (11) ◽  
pp. 985-995
Author(s):  
Valerii V. Semenets ◽  
V. M. Kartashov ◽  
V. I. Leonidov
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Acoustic Noise ◽  
Aerial Vehicles

scholarly journals A Possible Smart Metering System Evolution for Rural and Remote Areas Employing Unmanned Aerial Vehicles and Internet of Things in Smart Grids

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1627
Author(s):  
Giovanni Battista Gaggero ◽  
Mario Marchese ◽  
Aya Moheddine ◽  
Fabio Patrone
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Unmanned Aerial Vehicles ◽  
Smart Metering ◽  
Rural And Remote ◽  
Electrical Grid ◽  
Remote Areas ◽  
Aerial Vehicles ◽  
Consumption Data ◽  
Rural And Remote Areas

The way of generating and distributing energy throughout the electrical grid to all users is evolving. The concept of Smart Grid (SG) took place to enhance the management of the electrical grid infrastructure and its functionalities from the traditional system to an improved one. To measure the energy consumption of the users is one of these functionalities that, in some countries, has already evolved from a periodical manual consumption reading to a more frequent and automatic one, leading to the concept of Smart Metering (SM). Technology improvement could be applied to the SM systems to allow, on one hand, a more efficient way to collect the energy consumption data of each user, and, on the other hand, a better distribution of the available energy through the infrastructure. Widespread communication solutions based on existing telecommunication infrastructures instead of using ad-hoc ones can be exploited for this purpose. In this paper, we recall the basic elements and the evolution of the SM network architecture focusing on how it could further improve in the near future. We report the main technologies and protocols which can be exploited for the data exchange throughout the infrastructure and the pros and cons of each solution. Finally, we propose an innovative solution as a possible evolution of the SM system. This solution is based on a set of Internet of Things (IoT) communication technologies called Low Power Wide Area Network (LPWAN) which could be employed to improve the performance of the currently used technologies and provide additional functionalities. We also propose the employment of Unmanned Aerial Vehicles (UAVs) to periodically collect energy consumption data, with evident advantages especially if employed in rural and remote areas. We show some preliminary performance results which allow assessing the feasibility of the proposed approach.

scholarly journals Comprehensive Energy Consumption Model for Unmanned Aerial Vehicles, Based on Empirical Studies of Battery Performance

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 58383-58394 ◽  
Author(s):  
Hasini Viranga Abeywickrama ◽  
Beeshanga Abewardana Jayawickrama ◽  
Ying He ◽  
Eryk Dutkiewicz
Keyword(s):  
Energy Consumption ◽  
Unmanned Aerial Vehicles ◽  
Empirical Studies ◽  
Aerial Vehicles ◽  
Energy Consumption Model ◽  
Consumption Model

The Use of Unmanned Aerial Vehicles

2021 ◽  
pp. 810-826
Author(s):  
Aleksandar Erceg ◽  
Zafer Kilic
Keyword(s):  
Research And Development ◽  
Unmanned Aerial Vehicles ◽  
Economic Impact ◽  
Industrial Sectors ◽  
Aerial Vehicles ◽  
Different Types ◽  
Potential Applications ◽  
Production Cycles ◽  
New Jobs ◽  
The Way

Unmanned aerial vehicles (UAVs) are present in our lives, and although they are mostly connected to military purposes, they are becoming more present in the commercial and civilian sector. Possible applications of UAVs in the commercial and civilian sector will open new possibilities for further research and development of UAVs. This movement can bring new investment and new jobs, but at the same time, it will influence the way some activities are being done now. The use of UAVs brings savings in the production cycles and improve current operations in various industrial sectors. The chapter gives a definition and explains different types and potential applications of unmanned aerial vehicles in the word as well as the potential economic impact of their development and use. In the second part, the chapter analyzes the application of drones in Turkey and Croatia. Although different in terms of their size and the number of inhabitants, both countries are at the same level in relation to UAV application. Applications in both countries are compared, and after that, a conclusion is drawn.

The Use of Unmanned Aerial Vehicles

2019 ◽  
pp. 64-85
Author(s):  
Aleksandar Erceg ◽  
Zafer Kilic
Keyword(s):  
Research And Development ◽  
Unmanned Aerial Vehicles ◽  
Economic Impact ◽  
Industrial Sectors ◽  
Aerial Vehicles ◽  
Different Types ◽  
Potential Applications ◽  
Production Cycles ◽  
New Jobs ◽  
The Way

Unmanned aerial vehicles (UAVs) are present in our lives, and although they are mostly connected to military purposes, they are becoming more present in the commercial and civilian sector. Possible applications of UAVs in the commercial and civilian sector will open new possibilities for further research and development of UAVs. This movement can bring new investment and new jobs, but at the same time, it will influence the way some activities are being done now. The use of UAVs brings savings in the production cycles and improve current operations in various industrial sectors. The chapter gives a definition and explains different types and potential applications of unmanned aerial vehicles in the word as well as the potential economic impact of their development and use. In the second part, the chapter analyzes the application of drones in Turkey and Croatia. Although different in terms of their size and the number of inhabitants, both countries are at the same level in relation to UAV application. Applications in both countries are compared, and after that, a conclusion is drawn.

scholarly journals Editorial for Special Issue “Remote Sensing for Target Object Detection and Identification”

2020 ◽  
Vol 12 (1) ◽  
pp. 196 ◽  
Author(s):  
Gemine Vivone ◽  
Paolo Addesso ◽  
Amanda Ziemann
Keyword(s):  
Remote Sensing ◽  
Object Detection ◽  
Unmanned Aerial Vehicles ◽  
Target Object ◽  
Special Issue ◽  
Remotely Sensed Data ◽  
Aerial Vehicles ◽  
Detection And Identification ◽  
Different Types ◽  
Identification Techniques

This special issue gathers fourteen papers focused on the application of a variety of target object detection and identification techniques for remotely-sensed data. These data are acquired by different types of sensors (both passive and active) and are located on various platforms, ranging from satellites to unmanned aerial vehicles. This editorial provides an overview of the contributed papers, briefly presenting the technologies and algorithms employed as well as the related applications.

Three-dimensional waypoint following for fixed-wing unmanned aerial vehicles in obstacle-filled environments

2019 ◽  
Vol 234 (3) ◽  
pp. 640-654
Author(s):  
Nikhil Kumar Singh ◽  
Sikha Hota
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Optimal Path ◽  
Three Dimensional ◽  
Computation Time ◽  
Two Dimensional ◽  
Aerial Vehicles ◽  
Optimal Paths ◽  
Straight Line ◽  
Different Types ◽  
Simulation Results

The paper computes optimal paths for fixed-wing unmanned aerial vehicles with bounded turn radii to follow a series of waypoints with specified directions in a three-dimensional obstacle-filled environment. In the existing literature, it was proved that the optimal path is of circular turn–straight line–circular turn (CSC) type for two consecutive waypoint configurations, when the points are sufficiently far apart and there is no obstacle in the field. The maximum of all minimum turn radii corresponding to all possible two-dimensional circular maneuvers was used for both the initial and final turns to develop the CSC-type paths. But, this paper considers the minimum turn radii for initial and final turns, corresponding to the maneuvering planes and which produces shorter CSC-type paths. In an obstacle-filled environment the shortest path may collide with obstacles, so a strategy is proposed to switch to the next best path that does not collide with obstacles. Using this technique, a series of waypoints is followed in the presence of obstacles of different types, for example, cylindrical, hemispherical, and spherical in shapes with different sizes. Finally, simulation results are presented to show the efficiency of the algorithm for obstacle avoidance. The computation time listed here indicates the potentiality of this algorithm for implementation in real time.

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