scholarly journals Optimization of the Flight Path of an Unmanned Aerial Vehicle

2017 ◽  
Vol 3 (9) ◽  
pp. 1009-1015
Author(s):  
Vasyl Myklukha ◽  
◽  
Nataliia Khimchyk ◽  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Flight Path ◽  
Aerial Vehicle

scholarly journals FORMATION OF OPTIMAL PARAMETRS OF THE TRAJECTORY OF THE OVERFLIGHT OF UNMANNED AERIAL VEHICLE THROUGH THE SPECIFIED POINTS OF SPACE

Doklady BGUIR ◽  
2019 ◽  
pp. 50-57
Author(s):  
A. A. Lobaty ◽  
A. Y. Bumai ◽  
Du Jun
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Mathematical Problem ◽  
Minimum Energy ◽  
Optimization Criterion ◽  
Flight Path ◽  
Reference Points ◽  
Control Synthesis ◽  
Control Law ◽  
Analytical Control ◽  
Aerial Vehicle

The purpose of the scientific research, results are determinated in the article, is to analytically synthesize the control law of an unmanned aerial vehicle while guiding one along the trajectory that specified by the reference points of space in an inertial coordinate system. The analysis of various existing approaches of the formation of a given flight path of an unmanned aerial vehicle based on various mathematical formulations of the problem is carried out. To achieve the goal, the flight path is considered as separate intervals, where the control optimization problem is solved. The optimization criterion in general form is substantiated and its presentation in the form of a minimized quadratic quality functional is convenient for analytical control synthesis. As components of the functional, the parameters of the deviation of the flight path of the aircraft from the specified points of space are considered, as well as the predicted parameters of the velocity vector and the control normal acceleration. Moreover, at each specified point in space, the direction of the trajectory to the subsequent point is taken into account, that ensures optimal curvature of the trajectory by specified flight speed of the unmanned aerial vehicle. As a result of analytical synthesis, mathematical dependences are obtained to determine control acceleration, which allow us to get a specified optimal control law on board an unmanned aerial vehicle, which ultimately ensures minimum energy consumption. The validity of the proposed theoretical provisions is confirmed by a clear example, where for a simplified mathematical problem statement the optimal laws of change in control acceleration and the trajectory parameters of an unmanned aerial vehicle are calculated by computer simulation.

Emerging approaches to support dynamic mission planning: survey and recommendations for future research

2020 ◽  
pp. 154851291989875
Author(s):  
Matthew Henchey ◽  
Scott Rosen
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Department Of Defense ◽  
Flight Time ◽  
Flight Path ◽  
Mission Planning ◽  
Future Research ◽  
Problem Space ◽  
New Information ◽  
Algorithmic Support ◽  
Aerial Vehicle

In the Department of Defense, unmanned aerial vehicle (UAV) mission planning is typically in the form of a set of pre-defined waypoints and tasks, and results in optimized plans being implemented prior to the beginning of the mission. These include the order of waypoints, assignment of tasks, and assignment of trajectories. One emerging area that has been recently identified in the literature involves frameworks, simulations, and supporting algorithms for dynamic mission planning, which entail re-planning mid-mission based on new information. These frameworks require algorithmic support for flight path and flight time approximations, which can be computationally complex in nature. This article seeks to identify the leading academic algorithms that could support dynamic mission planning and recommendations for future research for how they could be adopted and used in current applications. A survey of emerging UAV mission planning algorithms and academic UAV flight path algorithms is presented, beginning with a taxonomy of the problem space. Next, areas of future research related to current applications are presented.

scholarly journals A New Coverage Flight Path Planning Algorithm Based on Footprint Sweep Fitting for Unmanned Aerial Vehicle Navigation in Urban Environments

2019 ◽  
Vol 9 (7) ◽  
pp. 1470 ◽  
Author(s):  
Abdul Majeed ◽  
Sungchang Lee
Keyword(s):  
Path Planning ◽  
Unmanned Aerial Vehicle ◽  
Travelling Salesman Problem ◽  
Urban Environments ◽  
Flight Path ◽  
Computational Time ◽  
Minimum Length ◽  
Planning Algorithm ◽  
Aerial Vehicle ◽  
Path Planning Algorithm

This paper presents a new coverage flight path planning algorithm that finds collision-free, minimum length and flyable paths for unmanned aerial vehicle (UAV) navigation in three-dimensional (3D) urban environments with fixed obstacles for coverage missions. The proposed algorithm significantly reduces computational time, number of turns, and path overlapping while finding a path that passes over all reachable points of an area or volume of interest by using sensor footprints’ sweeps fitting and a sparse waypoint graph in the pathfinding process. We devise a novel footprints’ sweep fitting method considering UAV sensor footprint as coverage unit in the free spaces to achieve maximal coverage with fewer and longer footprints’ sweeps. After footprints’ sweeps fitting, the proposed algorithm determines the visiting sequence of footprints’ sweeps by formulating it as travelling salesman problem (TSP), and ant colony optimization (ACO) algorithm is employed to solve the TSP. Furthermore, we generate a sparse waypoint graph by connecting footprints’ sweeps’ endpoints to obtain a complete coverage flight path. The simulation results obtained from various scenarios fortify the effectiveness of the proposed algorithm and verify the aforementioned claims.

scholarly journals Indoor Unmanned Aerial Vehicle Navigation System Using LED Panels and QR Codes

2021 ◽  
Vol 33 (2) ◽  
pp. 242-253
Author(s):  
Hiroyuki Ukida ◽  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Navigation System ◽  
Indoor Environment ◽  
Flight Path ◽  
Qr Code ◽  
Qr Codes ◽  
Vehicle Navigation System ◽  
Aerial Vehicle ◽  
Uav Navigation ◽  
Navigation Method

In this study, we propose an unmanned aerial vehicle (UAV) navigation system using LED panels and QR codes as markers in an indoor environment. An LED panel can display various patterns; hence, we use it as a command presentation device for UAVs, and a QR code can embed various pieces of information, which is used as a sign to estimate the location of the UAV on the way of the flight path. In this paper, we present a navigation method from departure to destination positions in which an obstacle lies between them. In addition, we investigate the effectiveness of our proposed method using an actual UAV.

scholarly journals AUTONOMOUS UNMANNED AERIAL VEHICLE FLIGHT ACCURACY EVALUATION FOR THREE DIFFERENT PATH-TRACKING ALGORITHMS

Transport ◽  
2019 ◽  
Vol 34 (6) ◽  
pp. 652-661
Author(s):  
Ramūnas Kikutis ◽  
Jonas Stankūnas ◽  
Darius Rudinskas
Keyword(s):  
Probability Density Function ◽  
Probability Density ◽  
Density Function ◽  
Unmanned Aerial Vehicle ◽  
Dimensional Space ◽  
Flight Path ◽  
Accuracy Evaluation ◽  
Two Dimensional ◽  
Aerial Vehicle ◽  
Probability Density Function Pdf

This paper shows mathematical results of three methods, which can be used for Unmanned Aerial Vehicle (UAV) to make transition from one flight leg to another. In paper, we present general equations, which can be used for generating waypoint-switching methods when for experiment purpose mathematical UAV model is used. UAV is modelled as moving dot, which eliminates all of the aerodynamics factors and we can concentrate only on the navigation problems. Lots of attention is dedicated to show possible flight path error values with representation of modelled flight path trajectories and deviations from the flight mission path. All of the modelled flight missions are done in two-dimensional space and all the results are evaluated by looking at Probability Density Function (PDF) values, as we are mostly interested in the probability of the error.

A Cloud Computing-based Micro-Unmanned Aerial Vehicle System for Geological Disaster Surveys

2020 ◽  
Author(s):  
Gloria Xing ◽  
Mingzhi Zhang ◽  
Juan Ma ◽  
Zack Huang ◽  
Cong Liu
Keyword(s):  
Cloud Computing ◽  
Data Processing ◽  
Unmanned Aerial Vehicle ◽  
Flight Path ◽  
Computer Hardware ◽  
Cloud Platform ◽  
Geological Surveys ◽  
Path Control ◽  
Geological Disaster ◽  
Aerial Vehicle

<p>In recent years, Unmanned aerial vehicle (UAV) tilt photography, InSAR, LiDAR and other technologies have been used in the field of geological disaster surveys and research to varying degrees, with traditional field survey methods being unable to meet the requirements of rapid and subtilized geological surveys nowadays. Thanks to the rapid development of UAV tilt photogrammetry technology, UAVs have played an important role in geological disaster emergency investigations and geological surveys. However, there are still some problems with the application of UAVs: 1. Geological disaster investigators who commonly hold degrees in geology find it difficult to learn how to operate UAVs; 2. professional UAV pilot training involves high costs and long training cycles, and meanwhile, UAV platforms and their loaded multi-lens tilt cameras are of high value, which render UAVs impossible to use as a standard accessory for geological disaster investigation teams; and 3. professional 3D modelling software is expensive and requires highly configured computer hardware, and in field scenarios, it usually has poor timeliness in terms of data processing. A micro-UAV system, mainly consisting of a UAV flight path control app (supporting Android/IOS) and a web-based data processing cloud platform, has been developed to solve the problems emerging in UAV-based geological disaster surveys, such as the difficult data collection, slow data processing, and high human involvement. The system integrates existing consumer-grade micro-UAV hardware and our newly designed UAV path planning and photogrammetry modes applicable in geological disaster surveys to achieve the fast acquisition of images, DOM, DSM, 3D models and point cloud data for geological disaster survey areas, based on high-speed processing and multi-node distributed GPU cluster technology. The main goal of this micro-UAV geological disaster surveying system is to rapidly acquire, transmit, process and distribute large-scale three-dimensional geographic information for small areas. The UAV flight path control app features one-click take-off and automatic landing, and the web data-processing cloud platform can realize one-click automatic data processing. The system has good application prospects due to its low cost and easy operation, and the fact that it can be widely used as a standard accessory by teams in various geological disaster investigations.</p><p><strong>Keywords</strong>: micro-UAV system, cloud computing, geological disaster survey, rapid and subtilized survey</p>

Distributed sensing units deploying on group unmanned vehicles

2021 ◽  
Vol 17 (7) ◽  
pp. 155014772110368
Author(s):  
Bao Rong Chang ◽  
Hsiu-Fen Tsai ◽  
Jyong-Lin Lyu ◽  
Chien-Feng Huang
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Video Recording ◽  
Three Dimensional ◽  
Unmanned Vehicles ◽  
Flight Path ◽  
Movement Trajectory ◽  
Ground Vehicles ◽  
Aerial Vehicle ◽  
Cooperative Coordination ◽  
The Internet Of Things

This study aims to use two unmanned vehicles (aerial vehicles and ground vehicles) to implement multi-machine cooperation to complete the assigned tasks quickly. Unmanned aerial/ground vehicles can call each other to send instant inquiry messages using the proposed cooperative communication protocol to hand over the tasks between them and execute efficient three-dimensional collaborative operations in time. This study has demonstrated integrating unmanned aerial/ground vehicles into a group through the control platform (i.e. App operation interface) that uses the Internet of Things. Therefore, pilots can make decisions and communicate through App for cooperative coordination, allowing a group of unmanned aerial/ground vehicles to complete the tasks flexibly. In addition, the payload attached to unmanned air/ground vehicles can carry out multipurpose monitoring that implements face recognition, gas detection, thermal imaging, and video recording. During the experiment of unmanned aerial vehicle, unmanned aerial vehicle will plan the flight path and record the movement trajectory with global positioning system when it is on duty. As a result, the accuracy of the planned flight path achieved 86.89% on average.

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