Optimized artificial potential field algorithm to multi-unmanned aerial vehicle coordinated trajectory planning and collision avoidance in three-dimensional environment

2019 ◽  
Vol 233 (16) ◽  
pp. 6032-6043 ◽  
Author(s):  
Jun Tang ◽  
Jiayi Sun ◽  
Cong Lu ◽  
Songyang Lao
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Collision Avoidance ◽  
Unmanned Aerial Vehicle ◽  
Trajectory Planning ◽  
Potential Field ◽  
Three Dimensional ◽  
Artificial Potential Field ◽  
Aerial Vehicles ◽  
Aerial Vehicle ◽  
Vehicle Trajectory

Multi-unmanned aerial vehicle trajectory planning is one of the most complex global optimum problems in multi-unmanned aerial vehicle coordinated control. Results of recent research works on trajectory planning reveal persisting theoretical and practical problems. To mitigate them, this paper proposes a novel optimized artificial potential field algorithm for multi-unmanned aerial vehicle operations in a three-dimensional dynamic space. For all purposes, this study considers the unmanned aerial vehicles and obstacles as spheres and cylinders with negative electricity, respectively, while the targets are considered spheres with positive electricity. However, the conventional artificial potential field algorithm is restricted to a single unmanned aerial vehicle trajectory planning in two-dimensional space and usually fails to ensure collision avoidance. To deal with this challenge, we propose a method with a distance factor and jump strategy to resolve common problems such as unreachable targets and ensure that the unmanned aerial vehicle does not collide into the obstacles. The method takes companion unmanned aerial vehicles as the dynamic obstacles to realize collaborative trajectory planning. Besides, the method solves jitter problems using the dynamic step adjustment method and climb strategy. It is validated in quantitative test simulation models and reasonable results are generated for a three-dimensional simulated urban environment.

THE RESEARCH OF UNMANNED AIRCRAFT EVASIVE MANEUVERS FROM ATTACK BY ENEMY AIRCRAFT ON THE BASIS OF THE GAME APPROACH

2019 ◽  
pp. 21-31
Author(s):  
V. N. Evdokimenkov ◽  
M. N. Krasilshchikov ◽  
N. A. Lyapin
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Initial Position ◽  
Unmanned Aircraft ◽  
Initial State ◽  
Air Defense ◽  
Aerial Vehicles ◽  
Positional Advantage ◽  
Aerial Vehicle ◽  
Vehicle Trajectory

Actual level of unmanned aerial vehicles development allows us to consider them as an effective tool for solving a variety of civil and military tasks (primarily reconnaissance and strike). At the same time, one of the most important problems associated with the combat use of unmanned aerial vehicles remains to ensure their high survivability in organized counteraction conditions, the source of which can be both ground-based air defense and fighter aircraft (manned or unmanned). For this reason, the study and optimization of unmanned aerial vehicle evasion maneuvers from an enemy air attack remains relevant. In the article on the basis of game approach the algorithm of the unmanned aerial vehicle trajectory guaranteeing management providing its evasion from attack of the air opponent is offered. The study of unmanned aerial vehicle maneuverability tactically significant indicators influence on the effectiveness of the evasion maneuver. The results of simulation, demonstrated the influence of unmanned aerial vehicle maneuvering capabilities on achievement a positional advantage in order to solve the problem of evasion from enemy air attack, are presented. A series of computational experiments, whose results allow to assert that the use of the developed algorithm to guarantee control regardless of the relative initial state target UAV (Unmanned Aerial Vehicle) and UAV-interceptor with the comparability of their maneuvering capabilities in 73 % of cases provides the positional advantage of the target UAV, the UAV position relative to the interceptor makes inefficient use of the latest posted guided missiles, are performed. Note that the increase in the values of tactical indicators that reflect the maneuverability of the attacked UAV compared to the enemy, leads to the fact that in all cases, regardless of the initial position of the attacked UAV relative to the UAV-interceptor, it is ensured that it is brought beyond the zone of possible launches of guided missiles.

scholarly journals Adaptive Autonomous Technology in Unmanned Aerial Vehicles for Parcel Delivery

2019 ◽  
pp. 07-12
Author(s):  
Thamma Bhanu Sumanth Reddy ◽  
Pullagura Harsha Teja ◽  
Regalla Pavan Teja ◽  
Thandra Praneeth
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Collision Avoidance ◽  
Unmanned Aerial Vehicle ◽  
Cost Effective ◽  
Sensor Technology ◽  
Aerial Vehicles ◽  
Cost Effective Approach ◽  
Aerial Vehicle ◽  
Autonomous Technology ◽  
Flying Robots

An Unmanned Aerial Vehicle (often called a Drone) is an aircraft that is not operated by a pilot on board. Drones are rapidly growing market and increasingly leverage. The Applications of these flying robots are limitless. This paper reviews and discusses about embedded vision and sensor technology which culminates in several innovative applications over drones. It introduces an industry alliance available to help product creators incorporate robust vision capabilities into their drones designs. This paper mainly deals on Autonomous Delivery of light weighted items along with the collision avoidance technology and also tracks the whereabouts of the vehicle in a cost effective approach. This can also be used for carrying out complex assignments such as rescue operations during disasters, mines surveying.

Feasibility of using digital image correlation for unmanned aerial vehicle structural health monitoring of bridges

2017 ◽  
Vol 17 (5) ◽  
pp. 1056-1072 ◽  
Author(s):  
Daniel Reagan ◽  
Alessandro Sabato ◽  
Christopher Niezrecki
Keyword(s):  
Digital Image Correlation ◽  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Digital Image ◽  
Health Monitoring ◽  
Three Dimensional ◽  
Image Correlation ◽  
Aerial Vehicles ◽  
Aerial Vehicle

Quantifying the condition of aging structures is important to verify structural integrity and long-term reliability. Structural health monitoring plays a key role in the prevention of catastrophic failure, in improving the safety of infrastructure, and in reducing the downtime and costs associated with their maintenance. Bridges are typically designed to have a lifespan on order of 50 years; therefore, bridge monitoring is important since many of them are near to or have already exceeded their design life. Conventional sensors and examination techniques such as accelerometers and strain gages produce results at only a discrete number of points. Visual inspection only provides qualitative information and is subject to human variability and inconsistencies between inspectors. Moreover, both approaches are labor intensive and time-consuming. In recent years, three-dimensional digital image correlation systems have proven their efficiency in being able to provide accurate quantitative information of structural deformations, full-field strain, and geometry profiles of large-scale structures. At the same time, unmanned aerial vehicles have emerged as valuable tools for remotely performing measurements in places, which are either difficult or dangerous to access. With regard to bridge inspection, unmanned aerial vehicles have the capability to expedite the measurement process, offer increased accessibility, and reduce interference with the structures’ functionality. In this study, a novel approach that combines the use of an unmanned aerial vehicle and three-dimensional digital image correlation is developed to perform non-contact, optically based measurements to monitor the health of bridges. Extensive laboratory tests and a long-term monitoring campaign on two in-service concrete bridges demonstrated the accuracy of this system in detecting structural changes. Results show that this system is able to detect changes to the bridge geometry with an uncertainty on the order of 10−5 m while improving accessibility. The feasibility of the approach, best practices, and lessons learned is presented.

scholarly journals A Flow Analysis Using a Water Tunnel of an Innovative Unmanned Aerial Vehicle

2021 ◽  
Vol 11 (13) ◽  
pp. 5772
Author(s):  
Dawid Lis ◽  
Adam Januszko ◽  
Tadeusz Dobrocinski
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Rapid Development ◽  
Lift Coefficient ◽  
Flow Analysis ◽  
Water Tunnel ◽  
Dual Use ◽  
Aerial Vehicles ◽  
Aerial Vehicle ◽  
Technical Construction

The purpose of this article is to present and discuss the results of a non-standard unnamed aerial vehicle construction with a constant cross-section square-shaped avionic profile. Based on the model’s in-air observed maneuverability, the research of avionic construction behavior was carried out in a water tunnel. The results show the model’s specific lift capabilities in comparison to classical avionic constructions. The characteristic results of the lift coefficient showed that the unmanned aerial vehicle presents favorable features than classic avionic constructions. The model was created with the prospect of using it in the future for dual-use purposes, where unmanned aerial vehicles are currently experiencing very rapid development. When creating the prototype, the focus was on low production cost, as well as convenience in operation. The development of this type of breakthrough avionic solution, which shows extraordinary maneuverability, may contribute to increasing the popularity and, above all, the availability of unmanned aerial vehicles for the largest possible group of recipients because of high avionic properties in relation to the technical construction complexity.

METHODS AND MODELS OF QUALITY MANAGEMENT OF MODULAR DESIGN OF ASSEMBLY PRODUCTION OF UNMANNED AERIAL VEHICLES

2021 ◽  
Author(s):  
E. G. Semenova ◽  
◽  
M. I. Bakustina ◽  
Keyword(s):  
Quality Control ◽  
Quality Management ◽  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Modular Design ◽  
Aerial Vehicles ◽  
Modern Methods ◽  
Aerial Vehicle ◽  
The Creation ◽  
Assembly Production

The article is devoted to the creation of a method for preparing an unmanned aerial vehicle for implementation as a finished packaged product. To achieve the goal, modern methods of standardization and quality control are used.

Modeling and control of a quadrotor tail-sitter unmanned aerial vehicles

2021 ◽  
pp. 095965182110504
Author(s):  
Hongbo Xin ◽  
Yujie Wang ◽  
Xianzhong Gao ◽  
Qingyang Chen ◽  
Bingjie Zhu ◽  
...  
Keyword(s):  
Control System ◽  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Euler Angle ◽  
Level Flight ◽  
Aerial Vehicles ◽  
Flight Mode ◽  
Aerial Vehicle ◽  
Hover Flight ◽  
And Control

The tail-sitter unmanned aerial vehicles have the advantages of multi-rotors and fixed-wing aircrafts, such as vertical takeoff and landing, long endurance and high-speed cruise. These make the tail-sitter unmanned aerial vehicle capable for special tasks in complex environments. In this article, we present the modeling and the control system design for a quadrotor tail-sitter unmanned aerial vehicle whose main structure consists of a traditional quadrotor with four wings fixed on the four rotor arms. The key point of the control system is the transition process between hover flight mode and level flight mode. However, the normal Euler angle representation cannot tackle both of the hover and level flight modes because of the singularity when pitch angle tends to [Formula: see text]. The dual-Euler method using two Euler-angle representations in two body-fixed coordinate frames is presented to couple with this problem, which gives continuous attitude representation throughout the whole flight envelope. The control system is divided into hover and level controllers to adapt to the two different flight modes. The nonlinear dynamic inverse method is employed to realize fuselage rotation and attitude stabilization. In guidance control, the vector field method is used in level flight guidance logic, and the quadrotor guidance method is used in hover flight mode. The framework of the whole system is established by MATLAB and Simulink, and the effectiveness of the guidance and control algorithms are verified by simulation. Finally, the flight test of the prototype shows the feasibility of the whole system.

Trend Analysis of Unmanned Aerial Vehicles (UAVs) Research Published in the HFES Proceedings

2018 ◽  
Vol 62 (1) ◽  
pp. 1067-1071
Author(s):  
Salim A. Mouloua ◽  
James Ferraro ◽  
Mustapha Mouloua ◽  
P.A. Hancock
Keyword(s):  
Human Factors ◽  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Supervisory Control ◽  
Research Trends ◽  
Government Agencies ◽  
The Past ◽  
Human Factors And Ergonomics ◽  
Aerial Vehicles ◽  
Aerial Vehicle

The present study was designed to examine the research trends in the literature focusing on Human Factors issues relevant to Unmanned Aerial Vehicle (UAV) systems. As these UAV technologies continue to proliferate with increasing autonomy and supervisory control requirements, it is crucial to evaluate the current and emerging research trends across the generations. This paper reviews the research trends of 228 papers matching our search criteria. The search retained only relevant and complete papers published over the past thirty years (1988-2017) in the Proceedings of the Human Factors and Ergonomics Society. Results were tabulated, graphed, and discussed based on research categories, topic areas, authors’ affiliation, and sources of funding. Results showed a substantial increase in the number of articles in the last two decades, with most papers driven by academic institutions and military and government agencies.

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