Novel Design for a Hybrid Aerial Underwater Vehicle

被引:1
|
作者
Yan, Lei [1 ]
Cao, Ao [1 ]
Zhu, Xinyuan [1 ]
Ding, Hongbo [1 ]
Lu, Huafeng [1 ]
Chen, Guangrong [1 ]
机构
[1] Beijing Jiaotong Univ, Sch Mech Elect & Control Engn, Beijing 100044, Peoples R China
基金
中国国家自然科学基金;
关键词
hybrid aerial underwater vehicle; foldable wings; computational fluid dynamic; multimodal;
D O I
10.1109/EECR60807.2024.10607165
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, we design a novel hybrid aerial underwater vehicle. The vehicle is based on fixed-wing vehicle, hydrofoil and autonomous underwater vehicle, which is capable of navigating in three states: air, water surface and underwater. We design a novel foldable wings mechanism to fold and deploy both sides of the wings in a very short time by a single electric actuator. Then, we consider the aerodynamic characteristics of each wing type and determine all of the wing types. Finally, we conduct computational fluid dynamics simulation of the aerial state of the vehicle to verify the feasibility and stability of aerial flight and underwater submergence of the vehicle.
引用
收藏
页码:215 / 219
页数:5
相关论文
共 50 条
  • [21] Modelling and Dynamic Analysis of a Novel Hybrid Aerial - Underwater Robot - Acutus
    Vyas, Abhijeet
    Sivadasan, Ridhi Puppala Nikhil
    Molawade, Akshay
    Ranganathan, Thiyagarajan
    Thondiyath, Asokan
    OCEANS 2019 - MARSEILLE, 2019,
  • [22] Design of a Hybrid Controller for Heading Control of an Autonomous Underwater Vehicle
    Xia, Guoqing
    Tang, Li
    Guo, Fengshui
    Chen, Qiang
    Leng, Jing
    2009 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY, VOLS 1-3, 2009, : 827 - 831
  • [23] Design, fabrication, and testing of a maneuverable underwater vehicle with a hybrid propulsor
    Gao, Dongqi
    Wang, Tong
    Qin, Fenghua
    Zhang, Shiwu
    Jing, Jun
    Yang, Jiming
    BIOMIMETIC INTELLIGENCE AND ROBOTICS, 2022, 2 (04):
  • [24] Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Medium Transition
    Grando, Ricardo B.
    de Jesus, Junior C.
    Kich, Victor A.
    Kolling, Alisson H.
    Bortoluzzi, Nicolas P.
    Pinheiro, Pedro M.
    Neto, Armando A.
    Drews, Paulo L. J., Jr.
    2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021), 2021, : 1088 - 1094
  • [25] Trans-Media Kinematic Stability Analysis for Hybrid Unmanned Aerial Underwater Vehicle
    Wei, Tongjin
    Lu, Di
    Zeng, Zheng
    Lian, Lian
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2022, 10 (02)
  • [26] Surfing Algorithm: Agile and Safe Transition Strategy for Hybrid Aerial Underwater Vehicle in Waves
    Bi, Yuanbo
    Jin, Yufei
    Zhou, Hexiong
    Bai, Yulin
    Lyu, Chenxin
    Zeng, Zheng
    Lian, Lian
    IEEE TRANSACTIONS ON ROBOTICS, 2023, 39 (06) : 4262 - 4278
  • [27] Takeoff and Landing Control of a Hybrid Aerial Underwater Vehicle on Disturbed Water's Surface
    Lu, Di
    Guo, Yinghao
    Xiong, Chengke
    Zeng, Zheng
    Lian, Lian
    IEEE JOURNAL OF OCEANIC ENGINEERING, 2022, 47 (02) : 295 - 311
  • [28] Adaptive Dynamic Surface Control for a Hybrid Aerial Underwater Vehicle With Parametric Dynamics and Uncertainties
    Lu, Di
    Xiong, Chengke
    Zeng, Zheng
    Lian, Lian
    IEEE JOURNAL OF OCEANIC ENGINEERING, 2020, 45 (03) : 740 - 758
  • [29] Review of hybrid aerial underwater vehicle: Cross-domain mobility and transitions control
    Zeng, Zheng
    Lyu, Chenxin
    Bi, Yuanbo
    Jin, Yufei
    Lu, Di
    Lian, Lian
    OCEAN ENGINEERING, 2022, 248
  • [30] A NOVEL MICRO AERIAL VEHICLE DESIGN: THE EVOLUTION OF THE OMNICOPTER MAV
    Long, Yangbo
    Gelardos, Andreas
    Cappelleri, David J.
    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2014, VOL 5A, 2014,