scholarly journals STUDY OF THE PROBLEM OF OPTIMAL MAINTENANCE OF UNMANNED AERIAL VEHICLES IN CONDITIONS OF A SHORTAGE OF VEHICLES

2020 ◽  
Vol 2 ◽  
pp. 47-57
Author(s):  
Denys Medynskyi ◽  
Iryna Borets

The ways to find the ways of solving the problem of optimal service for unmanned aerial vehicles in the conditions of vehicle shortage are explored. In the study of theory of optimal control and discrete optimization insufficiently explored the problem of optimal graph coverage by the chains of a fixed pattern with the help of a description system of ordinary differential equations. With the help of the graph theory investigated the optimization problem of the «Upper Cover» for unmanned aerial vehicles service in the conditions of vehicle shortage has been solved. Study of the problem relates to the mathematical dependence of transport systems. It can be used for determination of the optimal ratio between the amount of Unmanned Aerial Vehicles and fuel (electricity) reserves used by the Unmanned Aerial Vehicles. The method of solving the problem of determining the weight of the arcs of the graph and the problem of constructing a chain is based on that dependence. Part of the problem is the task of docking. The combinatorial task of choosing a set of stations for servicing points of the initial unmanned aerial vehicles dislocation is based on the dependence mentioned. Effective method for solving the problem of optimal coverage of a graph for supply chains with constraints is developed on the bases of the dependence. The proposed research methods can significantly reduce the cost of delivery of urgent goods using unmanned aerial vehicles. The proposed research methods can significantly reduce the cost of delivery of urgent goods using unmanned aerial vehicles. Perspective of further researches is studying of mathematical model of optimal servicing the delivery areas in the conditions of the lack of UAV. The constraints for practical purposes must have a group-theoretical approach to solving optimization problems and be reduced for the constructing an optimal cost matrix analysis. Algebraic approach is used, when there is a need in solving a large set of similar types of optimization problems with different constraints in the right hand side only. It is possible to apply a heuristic algorithm for solving the problem of optimal UAV service. The problem means optimal coverage of a special graph with chains with restriction on the chain length

2022 ◽  
Author(s):  
Rahul Bharadwaj Laxman

The paper is about the use of unmanned aerial vehicles in the field of smart agriculture


2021 ◽  
Vol 227 (4) ◽  
pp. 45-49
Author(s):  
SERGEJ M. KOLOTUSHKIN ◽  

Abstract. The article discusses the issues of assessing the effectiveness of tactical and technical solutions for prevention of prohibited items delivery to the territory of institutions of the penal system of the Russian Federation using unmanned aerial vehicles. The cost of completing the task was taken as the indicator of efficiency. The task was formulated as guaranteed prevention of flights of unmanned aerial vehicles over the territories of pre-trial detention centers, prisons, colonies and other facilities. In the course of theoretical and experimental studies, conceptual approaches to solving the highlighted problem were substantiated, rational characteristics and operating modes of complexes for countering flights of unmanned aerial vehicles over the territories of institutions of the penal system of the Russian Federation were defined. Key words: penal system, unmanned aerial vehicles, prohibited items, effectiveness of countermeasures.


2021 ◽  
Vol 845 (1) ◽  
pp. 012156
Author(s):  
A Y Astapov ◽  
I P Krivolapov ◽  
D V Akishin ◽  
A S Gordeev ◽  
A A Naydenov

Abstract The paper studies the reliability of transmission lines of Michurinsk district electric lines in Tambov Region. It evaluates the quality of overhead power transmission lines in the support-insulator-wire system and determines the reliability factor of overhead lines. The paper proposes methodological approaches to the survey of power transmission lines using unmanned aerial vehicles. Their use seems quite promising and profitable, since the cost of such work is an order of magnitude lower.


2021 ◽  
Vol 103 (4) ◽  
Author(s):  
Kristoffer Gryte ◽  
Martin L. Sollie ◽  
Tor Arne Johansen

AbstractAutomatic recovery is an important step in enabling fully autonomous missions using fixed-wing unmanned aerial vehicles (UAVs) operating from ships or other moving platforms. However, automatic recovery in moving arrest systems is only briefly studied in the research literature, and is not yet an option when using low-cost, commercial off-the-shelf (COTS) autopilots. Acknowledging the reliability and low cost of COTS avionics, this paper adds recovery functionality as a modular extension based on non-intrusive additions to an autopilot with very general assumptions on its interface. This is achieved by line-of-sight guidance, which sends an augmented desired position to the autopilot, to ensure line-following along a virtual runway that guides the UAV into the arrest system. The translation and rotation of this line is determined by the pose of the arrest system, determined using two Global Navigation Satellite System (GNSS) receivers, where one is configured as a Real-Time Kinematic (RTK) base station. The relative position of the UAV and arrest system is also precisely estimated using RTK GNSS. Through extensive field testing, on two different fixed-wing UAVs, the system has shown its performance and reliability; 43 recovery attempts in a stationary net hit 0.01 ± 0.25m to the right and 0.07 ± 0.20m below the target in calm conditions. Further, 15 recoveries in a barge-mounted, ship-towed net hit 0.06 ± 0.53m to the right and 0.98 ± 0.27m below the target in winds up to 4 m/s. The remaining error is largely systematic, caused by communication delays, and could be reduced with more integral effect or through direct compensation.


Author(s):  
G P Kladis ◽  
J T Economou ◽  
A Tsourdos ◽  
B A White ◽  
K Knowles

Because of their large operational potential, unmanned aerial vehicles (UAVs) may be required to perform over long periods of time, which might lead to potential degradation or even failure of their electrical or/and mechanical control surfaces and components. Consequently, the least failure can degrade the performance of the process and might lead to a catastrophic event. Therefore, an efficient mechanism should be capable of making these faults realizable and act accordingly so that a performance index is continuously maintained. However, even when a fault is detected at the monitoring phase, as illustrated in a previous work by Kladis and Economou [


Drones ◽  
2019 ◽  
Vol 3 (3) ◽  
pp. 66 ◽  
Author(s):  
Ines Khoufi ◽  
Anis Laouiti ◽  
Cedric Adjih

The use of Unmanned Aerial Vehicles (UAVs) is rapidly growing in popularity. Initially introduced for military purposes, over the past few years, UAVs and related technologies have successfully transitioned to a whole new range of civilian applications such as delivery, logistics, surveillance, entertainment, and so forth. They have opened new possibilities such as allowing operation in otherwise difficult or hazardous areas, for instance. For all applications, one foremost concern is the selection of the paths and trajectories of UAVs, and at the same time, UAVs control comes with many challenges, as they have limited energy, limited load capacity and are vulnerable to difficult weather conditions. Generally, efficiently operating a drone can be mathematically formalized as a path optimization problem under some constraints. This shares some commonalities with similar problems that have been extensively studied in the context of urban vehicles and it is only natural that the recent literature has extended the latter to fit aerial vehicle constraints. The knowledge of such problems, their formulation, the resolution methods proposed—through the variants induced specifically by UAVs features—are of interest for practitioners for any UAV application. Hence, in this study, we propose a review of existing literature devoted to such UAV path optimization problems, focusing specifically on the sub-class of problems that consider the mobility on a macroscopic scale. These are related to the two existing general classic ones—the Traveling Salesman Problem and the Vehicle Routing Problem. We analyze the recent literature that adapted the problems to the UAV context, provide an extensive classification and taxonomy of their problems and their formulation and also give a synthetic overview of the resolution techniques, performance metrics and obtained numerical results.


Drones ◽  
2020 ◽  
Vol 4 (4) ◽  
pp. 68
Author(s):  
Koki Yakushiji ◽  
Hiroshi Fujita ◽  
Mikio Murata ◽  
Naoki Hiroi ◽  
Yuuichi Hamabe ◽  
...  

Larger types of small unmanned aerial vehicles (UAVs) are beginning to be used in the United States and Europe for commercial transportation. Additionally, some blood product transport systems have been commercialized in Rwanda and other countries and used in pandemic operations for the coronavirus disease 2019 (COVID-19) in infected areas. Conversely, implementing goods transportation for commercial purposes in Japan has been difficult, especially in urban areas, due to national legislation. This study examined UAV-assisted transportation in Japan, a natural disaster hotspot, with a focus on the potential uses of UAVs in situations where traffic blockages make ground transportation impossible. UAVs were used to transport 17 kg of medical supplies belonging to a disaster medical assistance team (DMAT), along with 100 emergency meals. We also transported insulin under controlled-temperature conditions, as well as many other emergency supplies. Using UAVs to transport emergency supplies could be an effective approach when dealing with disasters. This paper summarizes the effectiveness of this approach for medical care and disaster response activities. We present a method for using drones to bridge the gap between medical and firefighting personnel, such as DMAT personnel, who are engaged in life-saving activities at the time of a disaster, and those who are unable to transport necessary goods by land using terrestrial vehicles due to traffic interruptions.


2021 ◽  
Vol 4 (1) ◽  
pp. 317-329
Author(s):  
Arkadiusz Boczkowski ◽  
Artur Kuboszek ◽  
Adam Mańka ◽  
Karolina Dutkiewicz ◽  
Wiktoria Gramatyka ◽  
...  

Abstract Classic methods of stocktaking big game living in a given area have many disadvantages. The main result is the need to ensure appropriate terrain and weather conditions and also require the involvement of a large number of people, so-called observers. The development of technology makes it possible to create new stocktaking methods that will not have as many of the above-mentioned disadvantages, while reducing the cost of stocktaking and increasing its accuracy. This paper presents an analysis of the possibility of using unmanned aerial vehicles, so-called drones, in combination with the observation of game in the infrared wave range with the use of a thermal imaging camera. The paper presents the concept of such a solution, which will of course be further developed. Raids are planned with the use of thermal cameras over areas according to strictly defined transects and subjecting the obtained images to analysis, also with the use of artificial intelligence methods. This article was written as part of the PBL project carried out by a group of students from the Silesian University of Technology under the supervision of dr inż. Arkadiusz Boczkowski.


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