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Applied Sciences
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Advances on Unmanned Aerial Vehicle Robotics, Control and Automations
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Advances on Unmanned Aerial Vehicle Robotics, Control and Automations

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 5400

Special Issue Editors

Prof. Dr. Sung Kyung Hong

E-Mail Website
Guest Editor
School of Mechanical and Aerospace Engineering, Sejong University, Neungdong-ro, Gwangjin-gu, Seoul 143-747(05006), Korea
Interests: flight control system; IMU application; UAV; multicopter drone
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Le Nhu Ngoc Thanh, Ha

E-Mail
Co-Guest Editor
School of Intelligent Mechatronics Engineering, Sejong University Neungdong-ro, Gwangjin-gu, Seoul 143-747(05006), Korea
Interests: nonlinear control; disturbance observer-based control; collision avoidance control design for unmanned vehicles; UAV control system; mechatronics and robotics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Recently, along with the rapid developments in science and technology, such as machine learning, computer science, electronics, control theories, and, particularly, artificial intelligence technique, UAVs are becoming more and more maneuverable and smarter. Therefore, they are increasingly being used in many different fields from civilian to military. UAVs can also replace human activities in dangerous environments. However, there are many challenges in the working environment itself, such as wind, rain, collision, sensor/actuator faults and other uncertainties, etc., and challenges from applications requiring a working network, which require a connection between UAVs and other devices (i.e., UAVs and cars, multiple UAVs, UAVs, and ships) through advanced communication techniques. In the future, to complete a specific mission, UAVs must be equipped with a smart brain with a fully autonomous capacity, integrating many intelligent abilities such as environment detection, collision avoidance, tracking control, fault diagnosis, failure control, working network, etc.  This Special Issue will publish papers that develop and apply advanced technologies, novel guidance, navigation, and control theories for a smart UAV relying on highlight invention or current challenging applications. We welcome original studies with state-of-the-art research and a good contribution to academia and industry. Topics of interest for this Special Issue include but are not limited to the following:

  • Advances in control theories and applications for unmanned aerial vehicles and multicopter UAVs
  • Intelligent collision prediction and tracking control
  • Sensor fusion techniques and environment detection
  • Fault diagnosis and failure control
  • Disturbance estimation and robust control for multicopter UAVs
  • Software and hardware in the loop simulation (SILS and HILS) for UAVs
Prof. Dr. Sung Kyung Hong
Prof. Dr. Le Nhu Ngoc Thanh, Ha
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Smart UAVs
  • Disturbance estimation and robust control
  • Sensor/actuator faults diagnosis and failure control
  • UAVs network working
  • Collision detection and tracking control
  • Sensor fusion and environmental recognition
  • Smart applications of UAVs
  • SILS and HILS

Published Papers (2 papers)

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Research

10 pages, 3922 KiB  
Article
Aerodynamic Characteristics of a Micro Multi-Rotor Aircraft with 12 Rotors Considering the Horizontal Wind Disturbance
by Yao Lei, Wenjie Yang and Hengda Wang
Appl. Sci. 2020, 10(20), 7387; https://doi.org/10.3390/app10207387 - 21 Oct 2020
Cited by 2 | Viewed by 2350
Abstract
Wind disturbance posed difficulties for the stability of the micro air vehicles (MAVs) with attitude variation. In this paper, the aerodynamic performance of a MAV with six coaxial rotor pairs considering the horizontal wind is investigated by both experiments and numerical simulations. First, [...] Read more.
Wind disturbance posed difficulties for the stability of the micro air vehicles (MAVs) with attitude variation. In this paper, the aerodynamic performance of a MAV with six coaxial rotor pairs considering the horizontal wind is investigated by both experiments and numerical simulations. First, the effect of the horizontal wind on the multi-rotor aircraft is analyzed in detail. Then, low-speed wind tunnel tests were performed to obtain the thrust and power consumption and the aerodynamic performance of the multi-rotor aircraft (l/D = 1.2 and h/D = 0.19) with the rotational speed of 1500–2300 r/min in the horizontal wind ranged from 0 to 5 m/s. Finally, the distribution of streamline, the pressure of the blade tip, and the velocity and the vortices in the flow field of a multi-rotor aircraft with horizontal wind disturbance, were simulated and studied using the computational fluid dynamics (CFD) method. Through the comparison of experimental results and simulation results, it can be seen that the horizontal wind disturbance will increase power consumption to weaken the aerodynamic performance at higher rotor speeds. However, larger thrust and better hover performance are obtained at lower rotational speeds with good wind resistance. Additionally, due to the mutual induction between rotor wakes, the interactions of downwash flows become more intense at higher rotational speeds or larger wind speeds where the vortexes at the blade tip deformed and moved along with the wind. Full article
(This article belongs to the Special Issue Advances on Unmanned Aerial Vehicle Robotics, Control and Automations)
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11 pages, 2904 KiB  
Article
Lightweight Semantic Segmentation Network for Real-Time Weed Mapping Using Unmanned Aerial Vehicles
by Jizhong Deng, Zhaoji Zhong, Huasheng Huang, Yubin Lan, Yuxing Han and Yali Zhang
Appl. Sci. 2020, 10(20), 7132; https://doi.org/10.3390/app10207132 - 13 Oct 2020
Cited by 26 | Viewed by 2382
Abstract
The timely and efficient generation of weed maps is essential for weed control tasks and precise spraying applications. Based on the general concept of site-specific weed management (SSWM), many researchers have used unmanned aerial vehicle (UAV) remote sensing technology to monitor weed distributions, [...] Read more.
The timely and efficient generation of weed maps is essential for weed control tasks and precise spraying applications. Based on the general concept of site-specific weed management (SSWM), many researchers have used unmanned aerial vehicle (UAV) remote sensing technology to monitor weed distributions, which can provide decision support information for precision spraying. However, image processing is mainly conducted offline, as the time gap between image collection and spraying significantly limits the applications of SSWM. In this study, we conducted real-time image processing onboard a UAV to reduce the time gap between image collection and herbicide treatment. First, we established a hardware environment for real-time image processing that integrates map visualization, flight control, image collection, and real-time image processing onboard a UAV based on secondary development. Second, we exploited the proposed model design to develop a lightweight network architecture for weed mapping tasks. The proposed network architecture was evaluated and compared with mainstream semantic segmentation models. Results demonstrate that the proposed network outperform contemporary networks in terms of efficiency with competitive accuracy. We also conducted optimization during the inference process. Precision calibration was applied to both the desktop and embedded devices and the precision was reduced from FP32 to FP16. Experimental results demonstrate that this precision calibration further improves inference speed while maintaining reasonable accuracy. Our modified network architecture achieved an accuracy of 80.9% on the testing samples and its inference speed was 4.5 fps on a Jetson TX2 module (Nvidia Corporation, Santa Clara, CA, USA), which demonstrates its potential for practical agricultural monitoring and precise spraying applications. Full article
(This article belongs to the Special Issue Advances on Unmanned Aerial Vehicle Robotics, Control and Automations)
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