scholarly journals Setting optimal closed flight route of lightweight unmanned aerial vehicles with consideration of wind in flight area

2014 ◽  
Vol 17 (2) ◽  
pp. 99-108
Author(s):  
Quyen Xuan Pham ◽  
Моисеев Дмитрий Викторович ◽  
Minh Van Trinh
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Flight Time ◽  
Optimum Time ◽  
Aerial Vehicles ◽  
Flight Route ◽  
The Given

This article presents a method of planning closed routes by optimum time of unmanned light aerial vehicles passing through the given points, taking into account the effect of wind in the air and analyzing the effects of wind to route and flight time.

scholarly journals Practical Endurance Estimation for Minimizing Energy Consumption of Multirotor Unmanned Aerial Vehicles

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2221 ◽  
Author(s):  
Myeong-hwan Hwang ◽  
Hyun-Rok Cha ◽  
Sung Yong Jung
Keyword(s):  
Drag Coefficient ◽  
Unmanned Aerial Vehicles ◽  
Estimation Method ◽  
Flight Test ◽  
Flight Time ◽  
Average Error ◽  
Practical Applications ◽  
Aerial Vehicles ◽  
Vehicle Shape ◽  
Battery Discharge

The practically applicable endurance estimation method for multirotor unmanned aerial vehicles (UAVs) using a battery as a power source is proposed. The method considers both hovering and steady-level flights. The endurance, thrust, efficiency, and battery discharge are determined with generally available data from the manufacturer. The effects of the drag coefficient related to vehicle shape and payload weight are examined at various forward flight speeds. As the drag coefficient increases, the optimum speed at the minimum required power and the maximum endurance are reduced. However, the payload weight causes an opposite effect, and the optimal flying speed increases with an increase in the payload weight. For more practical applications for common users, the value of S × Cd is determined from a preliminary flight test. Given this value, the endurance is numerically estimated and validated with the measured flight time. The proposed method can successfully estimate the flight time with an average error of 2.3%. This method would be useful for designers who plan various missions and select UAVs.

Multiobjective Mission Planning for UAV under Uncertain Environment

2014 ◽  
Vol 556-562 ◽  
pp. 4435-4438
Author(s):  
Jing Yao Zhu ◽  
Qi Fang He ◽  
Tie Zhu Wang ◽  
Zu Tong Wang
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Uncertainty Theory ◽  
Multiobjective Programming ◽  
Flight Time ◽  
Programming Method ◽  
Mission Planning ◽  
Planning Problem ◽  
Uncertain Environment ◽  
Aerial Vehicles ◽  
Combat Environment

The combat environment of Unmanned Aerial Vehicles (UAVs) is filled with uncertain factors, which is complex and dynamic. This paper is devoted to the UAV mission planning problem under uncertain environment with three optimization objectives, such as flight time, fuel usage and threat imposed by enemy. Based on the uncertainty theory and multiobjective programming method, the UAV uncertain multiobjective mission plaaning model is built and solved.

scholarly journals CAMERA CALIBRATION FOR UAV APPLICATION USING SENSOR OF MOBILE CAMERA

2015 ◽  
Vol XL-4/W5 ◽  
pp. 239-242
Author(s):  
Y. Takahashi ◽  
H. Chikatsu
Keyword(s):  
Magnetic Field ◽  
Unmanned Aerial Vehicles ◽  
Camera Calibration ◽  
Low Cost ◽  
3D Models ◽  
Flight Time ◽  
Test Target ◽  
Analysis Software ◽  
Aerial Vehicles ◽  
Short Flight

Recently, 3D measurements using small unmanned aerial vehicles (UAVs) have increased in Japan, because small type UAVs is easily available at low cost and the analysis software can be created the easily 3D models. However, small type UAVs have a problem: they have very short flight times and a small payload. In particular, as the payload of a small type UAV increases, its flight time decreases. Therefore, it is advantageous to use lightweight sensors in small type UAVs. <br><br> A mobile camera is lightweight and has many sensors such as an accelerometer, a magnetic field, and a gyroscope. Moreover, these sensors can be used simultaneously. Therefore, the authors think that the problems of small UAVs can be solved using the mobile camera. <br><br> The authors executed camera calibration using a test target for evaluating sensor values measured using a mobile camera. Consequently, the authors confirmed the same accuracy with normal camera calibration.

scholarly journals The method of planning the flight route of unmanned aerial vehicles while monitoring the behavior of dynamic objects in the forest-steppe area

2020 ◽  
pp. 95-110
Author(s):  
О.І. Тимочко ◽  
А.В. Тристан ◽  
О.Є. Чернавіна ◽  
А.О. Бережний
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Route Planning ◽  
Forest Steppe ◽  
Search Efficiency ◽  
Dynamic Object ◽  
Aerial Vehicles ◽  
Aerial Vehicle ◽  
Flight Route ◽  
Goals And Objectives

The flight route planning method for an unmanned aerial vehicle (UAV) to search for a dynamic object in a forest-steppe area was developed. Indicators and criteria of search efficiency with the participation of UAV were proposed. They allow you to choose the route that most fully meets the goals and objectives of the search. A numerical estimates of the search efficiency indicator were obtained for choosing a rational UAV flight route under conditions of uncertain behavior of a dynamic object.

scholarly journals Disaster Reconnaissance Using Multiple Small Unmanned Aerial Vehicles

2019 ◽  
Vol 141 (06) ◽  
pp. S7-S11
Author(s):  
Jeffrey C. Derricott ◽  
Jacob B. Willis ◽  
Cameron K. Peterson ◽  
Kevin W. Franke ◽  
John D. Hedengren
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Data Storage ◽  
3D Model ◽  
3D Models ◽  
Flight Time ◽  
High Fidelity ◽  
Computational Power ◽  
Government Officials ◽  
Aerial Vehicles ◽  
Before And After

Small rotorcraft unmanned air vehicles (sUAVs) are valuable tools in solving geospatial inspection challenges. One area where this is being widely explored is disaster reconnaissance [1]. Using sUAVs to collect images provides engineers and government officials critical information about the conditions before and after a disaster [2]. This is accomplished by creating high- fidelity 3D models from the sUAV’s imagery. However, using an sUAV to perform inspections is a challenging task due to constraints on the vehicle’s flight time, computational power, and data storage capabilities [3]. The approach presented in this article illustrates a method for utilizing multiple sUAVs to inspect a disaster region and merge the separate data into a single high-resolution 3D model.

scholarly journals Data Transfer via UAV Swarm Behaviours

2018 ◽  
Vol 6 (2) ◽  
pp. 35-57
Author(s):  
Phillip Smith ◽  
Robert Hunjet ◽  
Aldeida Aleti ◽  
Jan Carlo Barca
Keyword(s):  
Machine Learning ◽  
Unmanned Aerial Vehicles ◽  
Data Transfer ◽  
Evolution Process ◽  
Heuristic Rule ◽  
Upper Limit ◽  
Aerial Vehicles ◽  
Uav Swarm ◽  
Robotic Swarm ◽  
The Given

This paper presents an adaptive robotic swarm of Unmanned Aerial Vehicles (UAVs) enabling communications between separated non-swarm devices. The swarm nodes utilise machine learning and hyper-heuristic rule evolution to enable each swarm member to act appropriately for the given environment. The contribution of the machine learning is verified with an exploration of swarms with and without this module. The exploration finds that in challenging environments the learning greatly improves the swarm’s ability to complete the task. The swarm evolution process of this study is found to successfully create different data transfer methods depending on the separation of non-swarm devices and the communication range of the swarm members. This paper also explores the resilience of the swarm to agent loss, and the scalability of the swarm in a range of environment sizes. In regard to resilience, the swarm is capable of recovering from agent loss and is found to have improved evolution. In regard to scalability, the swarm is observed to have no upper limit to the number of agents deployed in an environment. However, the size of the environment is seen to be a limit for optimal swarm performance.

Análisis Y Diseño De Una Aeronave No Tripulada Para Uso Agrícola

2017 ◽  
Vol 13 (6) ◽  
pp. 135
Author(s):  
Javier Enrique Orna Chávez ◽  
Otto Fernando Balseca Sampedro ◽  
Jorge Isaías Caicedo Reyes ◽  
Diego Fernando Mayorga Pérez ◽  
Edwin Fernando Viteri Núñez ◽  
...  
Keyword(s):  
Composite Materials ◽  
Carbon Fiber ◽  
Unmanned Aerial Vehicles ◽  
Power Supply ◽  
Agricultural Sector ◽  
Flight Time ◽  
Unmanned Aircraft ◽  
Commercial Application ◽  
Autonomous Flight ◽  
Aerial Vehicles

The present research proposes to diversify the use of unmanned aerial vehicles (UAV) with rotating wings for applications in the agricultural sector. For this we have analyzed and designed an unmanned aircraft. In first instance the applications of this type of aircraft in this sector were reviewed to determine possible design conditions that would aid in the sizing and design of the aircraft. Once the requirements had been determined, aerodynamic analysis was carried out to size up and launch the required power output for the craft. This in order to optimize the weight and autonomous fight time to finally design an aircraft prototype built in carbon fiber with the aid of fault theories as applied to composite materials. At the end of the research, an unmanned aircraft of 6 rotors, each with an installed power supply of 700W was designed. The aircraft has an autonomous flight time of 40 minutes without a payload, 20 minutes with a payload of 3Kg, and 8 minutes with a payload of 5Kg. The commercial application of these aircraft are the monitoring of land and fumigation in inaccessible areas.

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