Article
Engineering, Marine
Di Lu, Chengke Xiong, Hexiong Zhou, Chenxin Lyu, Rui Hu, Caoyang Yu, Zheng Zeng, Lian Lian
Summary: The study introduces an improved design of a multimodal hybrid aerial underwater vehicle capable of level and vertical flight, hovering, and underwater glide. The innovation lies in the novel configuration and lightweight pneumatic buoyancy system to balance flight payload and underwater weight. The prototype, named Nezha III, demonstrates excellent performance in different modes and remarkable capability of diving to 50 meters depth.
Article
Chemistry, Physical
Emre Ozbek, Gorkem Yalin, Mustafa Umut Karaoglan, Selcuk Ekici, C. Ozgur Colpan, T. Hikmet Karakoc
Summary: The study focuses on developing a PEM fuel cell Li Po battery hybrid system to increase flight endurance, with the evaluation and testing based on experimental power demand data. It was found that the fuel cell could meet most of the power demand, indicating its potential for improving UAV flight capabilities.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Robotics
Chenxin Lyu, Di Lu, Chengke Xiong, Rui Hu, Yufei Jin, Jianhu Wang, Zheng Zeng, Lian Lian
Summary: This research presents the design and testing of a novel hybrid aerial underwater vehicle (HAUV) called Nezha III. It features a piston-driven underwater glide strategy and combines the characteristics of an underwater glider and a fixed-wing vertical takeoff and landing aircraft. The vehicle prototype was built and field experiments were conducted to evaluate its performance. The experiment results show that Nezha III has extended underwater endurance and operational depth compared to existing HAUVs.
JOURNAL OF FIELD ROBOTICS
(2022)
Article
Environmental Sciences
Yongwoo Lee, Junkang An, Inwhee Joe
Summary: This paper proposes a method to create a new flight route during the autonomous flight of an unmanned aerial vehicle by self-recognition and judgment. By effectively utilizing the hardware resources of small computers, objects can be quickly and accurately recognized, and quick detection and avoidance can be achieved through filtering and object resizing.
Article
Thermodynamics
Irem Turk, Emre Ozbek, Selcuk Ekici, T. Hikmet Karakoc
Summary: Solar energy is an alternative energy source to fossil fuels, it is unlimited and nondestructive to nature. A solar-powered UAV with six hours of endurance is designed and evaluated, showing its potential for efficient flight in certain climate conditions.
INTERNATIONAL JOURNAL OF GREEN ENERGY
(2022)
Article
Engineering, Aerospace
TSogbayar Jargalsaikhan, Keonpyo Lee, Yong-Kee Jun, Seongjin Lee
Summary: This paper proposes mpFCS, a structure of UAV flight control software that provides portability and expandability to its modules within the standard airborne software environment. The mpFCS passed the test with all modules proven to be portable and interoperable with other software.
Article
Engineering, Electrical & Electronic
Quan Chen, Hai Zhu, Lei Yang, Xiaoqian Chen, Sofie Pollin, Evgenii Vinogradov
Summary: This article explores the synergies between vision and communications for edge-computing-enabled UAV flight, proposing a framework of edge computing assisted autonomous flight that utilizes three functionalities to enhance connectivity and mission performance. Simulation results demonstrate the effectiveness of the method in improving mission performance through enhanced connectivity.
IEEE COMMUNICATIONS MAGAZINE
(2021)
Article
Chemistry, Analytical
Filippo Accomando, Andrea Vitale, Antonello Bonfante, Maurizio Buonanno, Giovanni Florio
Summary: Compensating for magnetic and electromagnetic interference in drone-borne magnetometry surveys is a main challenge. Research has shown that suspending the magnetometer at a certain distance from the drone or below the drone can be effective solutions. By filtering drone-generated noise through CWT analysis, high quality data can be obtained, and the optimal flight solution can be chosen based on survey target and flight conditions.
Article
Automation & Control Systems
Haotian Zhang, Shaochang Tan, Ziming Song, Quan Quan
Summary: This study proposes a sizing optimization design method for a lifting-wing multicopter and validates it through flight experiments. The results show that the design method is accurate and effective in improving the range and transition time performance of the lifting-wing multicopter.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Computer Science, Artificial Intelligence
Taegyun Kim, Hoijo Jeaong, Seongyoung Kim, Inrae Kim, Seungkeun Kim, Jinyoung Suk, Hyo-Sang Shin
Summary: This study introduces a ducted-fan flight array system that can adapt to different mission environments, and its feasibility is validated through ground and flight tests. The system allows the UAVs to perform both formation flight as separate members and collaborative flight as a single entity through physical connection. The control system is designed using an open-source autopilot environment, and the communication environment for multi-UAV flight is established using the Robot Operating System (ROS). Ground and preliminary experimental tests confirm the feasibility and performance of the ducted-fan flight array system for both connected and separated flight.
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
(2023)
Article
Agronomy
Qiang Shi, Yulei Pan, Beibei He, Huaiqun Zhu, Da Liu, Baoguo Shen, Hanping Mao
Summary: This study investigated the characteristics of UAV downwash airflow field in a greenhouse through simulation and experimental verification. It was found that the greenhouse structure has the most significant impact on the airflow field, and the effect of UAV flight height on the downwash airflow field was also analyzed. The experimental results were in good agreement with the simulation results after linear regression analysis.
Article
Engineering, Aerospace
Mario Leonardo Erario, Maria Grazia De Giorgi, Radoslaw Przysowa
Summary: This study develops a numerical model of a micro gas turbine for prediction and prognostics of engine performance. The model is compared with experimental data, and the observed difference is found to be less than 3% for key parameters.
Article
Computer Science, Information Systems
Feng Shan, Jianping Huang, Runqun Xiong, Fang Dong, Junzhou Luo, Suyang Wang
Summary: Unmanned aerial vehicles (UAVs) have diverse applications in collecting data, monitoring facilities, and supporting mobile edge computing. This paper proposes a problem called the general waypoint-based PoI-visiting problem, aiming at minimizing flight energy consumption. The paper pays special attention to the energy consumption for turning and switching operations, and transforms the problem into the classic graph problem of the traveling salesman problem. The proposed algorithm is evaluated through simulations, showing promising results in terms of energy consumption.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Engineering, Multidisciplinary
Hitesh Bhardwaj, Xinyu Cai, Luke Soe Thura Win, Shaohui Foong
Summary: The paper introduces a novel rotary wing platform that can fold and expand its wings during flight, inspired by birds' wing-folding ability. The design is based on the monocopter platform, inspired by the flight of Samara seeds. Origami techniques are applied to fold the wings in flight. Two configurations are presented, featuring active or passive mechanisms for wing-folding depending on specific application requirements. These platforms can reduce their overall footprint by approximately 39% and 69% while in flight. Experimental results are presented to demonstrate the control of the platform in different modes.
BIOINSPIRATION & BIOMIMETICS
(2023)
Article
Biodiversity Conservation
Joshua P. P. Wilson, Tatsuya Amano, Richard A. A. Fuller
Summary: The increase in drone use has led to a need for regulations on flights near vulnerable wildlife, but a lack of data on drone-induced wildlife disturbance has hindered these efforts. This study characterizes the disturbance caused by drones among mixed-species shorebird flocks to provide guidance for drone management near shorebirds. The researchers conducted drone approaches on roosting non-breeding shorebirds in Moreton Bay, Australia and found that the flight initiation distance varies depending on the species and certain factors such as drone noise, approach velocity, and distance. The researchers recommend careful regulation of drone use, evaluation of disturbance risk in drone surveys, and seeking alternatives in the absence of disturbance data.
JOURNAL OF APPLIED ECOLOGY
(2023)
