Special Issue "Unmanned Aerial Vehicles (UAVs) II"

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".

Deadline for manuscript submissions: 31 October 2020.

Special Issue Editor

Dr. Sunghun Jung
Website
Guest Editor
Determent of Smart Mobile Convergence System, Chosun University, Gwangju, 61452, Korea
Interests: energy-efficient path planning, battery-state estimation, unmanned-system algorithm and SW development
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

Unmanned aerial vehicle (UAV) services such as sensing, mapping, goods and equipment delivery, inspection, and monitoring have started to grow rapidly with the rapidly falling prices of both drones and the sensors mounted on them. Many of these services involve the gathering of data and their processing with complex algorithms either in real time or in the cloud, and precise navigation and path-planning of the drones. We invite articles on all aspects of these problems involving UAV services, including data processing and sensor fusion, obstacle and collision avoidance, trajectory generation for single UAVs or groups of UAVs, communications and networks among UAVs, mission planning for various purposes, and so on.

Articles may be submitted in all the areas that currently abound in the news: inspection of farms, vineyards, ranch animals, petrochemical refineries, oil pipelines, and battlefields; delivery of pesticides and herbicides, food in restaurants, and packages to remote areas and residences; the cutting edge of photography, filming, and journalism; the mapping of various fields—optical, magnetic, acoustic, and chemical; and reconnaissance and tactical bombing in battlefield. Most of these applications have so far been performed by single UAVs, though use of a multiplicity of UAVs can significantly improve performance.

Dr. Sunghun Jung
Guest Editor

Manuscript Submission Information

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Keywords

  • unmanned aerial vehicle (UAV)
  • data processing and sensor fusion
  • obstacle and collision avoidance
  • trajectory generation
  • communications and networks
  • mission planning

Published Papers (3 papers)

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Research

Open AccessArticle
Multiobjective Scheduling of Logistics UAVs Based on Variable Neighborhood Search
Appl. Sci. 2020, 10(10), 3575; https://doi.org/10.3390/app10103575 - 21 May 2020
Abstract
This study focuses on the issue of logistics Unmanned Aerial Vehicle (UAV) distribution in urban environment and an automatic delivery system to support the delivery of packages. It can effectively integrate existing facilities and be easily deployed. There is a scheduling problem in [...] Read more.
This study focuses on the issue of logistics Unmanned Aerial Vehicle (UAV) distribution in urban environment and an automatic delivery system to support the delivery of packages. It can effectively integrate existing facilities and be easily deployed. There is a scheduling problem in this system with multiple UAVs and multiple flights. We manage to optimize the two objectives of customer satisfaction and total completion time. The scheduling problem is formulated to a Mixed Integer Linear Programming (MILP), and we propose a multiple objectives decision-making method. A special encoding method suitable for the small scale problem is presented and Variable Neighborhood Search (VNS) algorithm framework is used to generate the approximate optimal solution for this problem. In experiments, we calibrate the important parameter and analyze the robustness of the algorithm. The experimental results show that the proposed algorithms are efficient for this problem. Full article
(This article belongs to the Special Issue Unmanned Aerial Vehicles (UAVs) II)
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Open AccessArticle
Helicopter Safe Landing Trajectory after Main Rotor Actuator Failures
Appl. Sci. 2020, 10(8), 2917; https://doi.org/10.3390/app10082917 - 23 Apr 2020
Abstract
Main rotor actuator failure leads to catastrophic accidents for single main rotor helicopters. This paper focuses on safe landing trajectories after an actuator is locked in place by the remaining actuators, without introducing other control inputs. A general swashplate geometry is described, and [...] Read more.
Main rotor actuator failure leads to catastrophic accidents for single main rotor helicopters. This paper focuses on safe landing trajectories after an actuator is locked in place by the remaining actuators, without introducing other control inputs. A general swashplate geometry is described, and new reconfiguration solutions for the control mixer are presented. The safe landing trajectories are obtained by formulating a nonlinear optimal control problem based on a nonlinear helicopter dynamic model and geometry constraints due to actuator failure. Safe landing trajectory results are shown with various initial forward velocities of all actuator failure cases. The safe initial speed boundaries are also explored by employing speed sweeps. Full article
(This article belongs to the Special Issue Unmanned Aerial Vehicles (UAVs) II)
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Open AccessArticle
Dynamic Event-Triggered Time-Varying Formation Control of Second-Order Dynamic Agents: Application to Multiple Quadcopters Systems
Appl. Sci. 2020, 10(8), 2814; https://doi.org/10.3390/app10082814 - 18 Apr 2020
Abstract
This paper investigates the problem of the time-varying formation control of a second-order dynamic agent based on a distributed dynamic event-triggered algorithm. In this problem, each agent can exchange the information of its position and velocity with its neighbors via limited communication ability. [...] Read more.
This paper investigates the problem of the time-varying formation control of a second-order dynamic agent based on a distributed dynamic event-triggered algorithm. In this problem, each agent can exchange the information of its position and velocity with its neighbors via limited communication ability. Our approach provides a new dynamic event triggering mechanism to reduce the number of triggering times while maintaining satisfactory control performance. Further, a novel Lyapunov function is proposed to guarantee that the group of agents asymptotically tracks the desired time-varying formation trajectory. The practical applicability of the event triggering mechanism is also indicated by excluding the Zeno behavior in the proposed control algorithm. Finally, the validity and effectiveness of the proposed method are demonstrated via illustrative examples of the time-varying formation flight for six quadcopters. Full article
(This article belongs to the Special Issue Unmanned Aerial Vehicles (UAVs) II)
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