Aspects Of Unmanned Aerial Vehicle Research Articles

The use of unmanned aerial vehicles for forecasting and preventing floods

The paper considers possible aspects of unmanned aerial vehicles (UAVs) to predict and prevent dangerous situations associated with floods, waterlogging, and stream rise in the territories of settlements in modern conditions. Besides, a historical analysis of such cataclysms was carried out for the period from 2019 to 2020, which deserves the special attention of scientists. The relevance of the paper is undoubted, since the symbiosis of nature and man gives rise to destructive phenomena against the background of an incorrect interaction of these two units. The paper is divided into 5 main sections, which include: introduction, history of floods, possible use of UAVs in water accidents, and further actions after the work of UAVs is done and the conclusions.

Design-Drivers of Hybrid Mission Scenarios: Effects on Unmanned Aerial Vehicle Design and Mission Management

Motivated by rapid progress in sensor development, companies, organizations, and government authorities show growing interest in versatile unmanned aerial vehicles for increasingly complex and integrated tasks in civil conditions. In order to evaluate and compare research in context of missions with hybrid flight speed requirements, we introduce two benchmark scenarios based on civil search and rescue operations in mountainous areas. The scenarios contain different challenges like the identification of multiple persons in a narrow area in winter (buried avalanche victims) and the identification of a single person in a wide area in summer (missing paraglider). Both incidents take place in the European Alps with current standard infrastructure provided. In addition, we illustrate detailed settings of the scenarios and sources for terrain (shuttle radar topography mission data, SRTM3) and all required airspace and weather data. The missions are introduced as benchmark for research groups dealing with single components, overall configurations, or any other aspect of unmanned aerial vehicles. We exemplarily show how to use the scenarios for unmanned aerial vehicle design and mission management applications.

Unmanned Aerial Systems Platform Research Prognosis

Much of aerospace academia is anticipating a boom in Unmanned Aerial Vehicle (UAV) funding and research opportunities. The expectation is built on the premise that UAVs will revolutionize aerospace, which is likely based on current trends. There is also an anticipation of an increasing number of new platforms and research investment, which is likely but must be analyzed carefully to determine where the opportunities might lie. This paper draws on the state of industry and a systems engineering approach. We explore what aspects of UAVs really are the results of aerospace science advances and what aspects will be rather more mundane works of engineering.

A Note on Integer Programming Formulations of the Real-Time Optimal Scheduling and Flight Path Selection of UAVs

In recent years, considerable attention has been given to research on various aspects of unmanned aerial vehicles (UAVs) applications. UAVs are currently used for various military and civilian missions in the air, sea, space, and on the ground. In two recent papers, Shima (2007) and Kim (2007) considered closely similar m-UAV problems. In Shima (2007), the problem is considered with each target being served by only one UAV to minimize the total travel distance across all UAVs (called load balancing), however, in Kim (2007), the problem is considered with maximum number of targets that each UAV can serve with the objective of minimizing load balancing. Kim presented mixed integer linear programming (MILP) formulations of the load balancing problem both for when the UAVs return to their original depot and when they do not. Shima presented a combinatorial optimization formulation of their model with a branch-and-bound solution procedure. The MILP formulation of the load balancing problem is also adaptable to Shima 's problem. However, there are major inefficiencies with the MILP formulation presented in Kim 's model. In fact, The MILP formulations presented in Kim are highly complicated with huge number of variables and constraints making them impractical for applications. The purpose of the present note is to provide explicit MILP formulations that dramatically reduce the number of variables and the number of constraints for variety of UAV tour assignment problems including the two models mentioned above and via simulation we show significance of these new formulations.

From mission planning to flight control of unmanned aerial vehicles: Strategies and implementation tools

This paper reviews aspects of unmanned aerial vehicle (UAV) autonomy as suggested by the Autonomous Control Logic chart of the U.S. DoD UAV autonomy roadmap; levels of vehicle autonomy addressed through intelligent control practices and a hierarchical/intelligent control architecture are presented for UAVs. Basic modules of the control hierarchy and their enabling technologies are reviewed; of special interest, from an intelligent control perspective, are the middle and high echelons of the hierarchy. Here, mission planning, trajectory generation and vehicle navigation routines are proposed for the highest level. At the middle level, the control role is portrayed by mode transitioning, envelope protection, real-time adaptation and fault detection/control reconfiguration algorithms which are intended to safeguard the UAV's integrity in the event of component failures, extreme operating conditions or external disturbances. The UAV thus exhibits attributes of robustness and operational reliability assuring a satisfactory degree of autonomy. The control technologies are demonstrated through flight testing results.

Intelligent Control of Unmanned Aerial Vehicles for Improved Autonomy and Reliability

This paper reviews aspects of Unmanned Aerial Vehicle (UAV) autonomy as suggested by the Autonomous Control Logic chart of the U.S. DoD UAV Autonomy Roadmap; levels of vehicle autonomy addressedthrough intelligent control practices and a hierarchical/intelligent control architecture is presented for UAVs. Basic modules of the control hierarchy and their enabling technologies are reviewed; of special interest, from an intelligent control perspective, are the middle and high echelons of the hierarchy. Here, mission planning, trajectory generation and vehicle navigation routines are proposed for the highest level. At the middle level, thecontrol role is portrayed by mode transitioning, envelope protection, real-time adaptation and fault detection/control reconfiguration algorithms which are intended to safeguard the UAV's integrity in the event of component failures, extreme operating conditions or external disturbances. The UAV thus exhibits attributes of robustness and operational reliability assuring a satisfactory degree of autonomy. The control technologies are demonstrated through flight testing results and the paper concludes with brief remarks on recent research directions regarding coordinated/cooperative control of multiple UAVs.