A bio-inspired flight control strategy for a tail-sitter unmanned aerial vehicle

被引：14
|
作者：
Zhu, Bin [1 ]
Zhu, Jianzhong [2 ]
Chen, Qingwei [1 ]
机构：
[1] Nanjing Univ Sci & Technol, Inst Automat, Nanjing 210094, Peoples R China
[2] Tsinghua Univ, Dept Energy & Power Engn, Beijing 100084, Peoples R China
来源：
SCIENCE CHINA-INFORMATION SCIENCES | 2020年 / 63卷 / 07期
关键词：
tail-sitter aircraft; climb-glide; total energy control system; energy consumption minimization; flight path; VERTICAL TAKEOFF; TRANSITION;
D O I：
10.1007/s11432-019-2764-1
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Wingbeat behavior and intermittent flight path are the two main characteristics of many birds. In this paper, to improve the efficiency of energy use and cruise range, a bio-inspired intermittent flight strategy with a whole flight envelope has applied to a tail-sitter aircraft. A total energy control system based transition control law has been proposed. The energy efficiency is investigated in terms of energy consumption per unit distance of different cruising modes, and the effectiveness and stability of proposed flight mode transition control law are verified by simulation. The mean mechanical power in flap-gliding flight is reduced compared with steady flight.
引用
收藏
页数：10
相关论文
共 50 条
  • [21] Transition control of a tail-sitter unmanned aerial vehicle with L1 neural network adaptive control
    Jingyang ZHONG
    Chen WANG
    Hang ZHANG
    Chinese Journal of Aeronautics , 2023, (07) : 460 - 475
  • [22] Transition control of a tail-sitter unmanned aerial vehicle with L1 neural network adaptive control
    Jingyang ZHONG
    Chen WANG
    Hang ZHANG
    Chinese Journal of Aeronautics, 2023, 36 (07) : 460 - 475
  • [23] Simplified Model for Forward-Flight Transitions of a Bio-Inspired Unmanned Aerial Vehicle
    Sanchez-Laulhe, Ernesto
    Fernandez-Feria, Ramon
    Ollero, Anibal
    AEROSPACE, 2022, 9 (10)
  • [24] Transition control of a tail-sitter unmanned aerial vehicle with L1 neural network adaptive control
    Zhong, Jingyang
    Wang, Chen
    Zhang, Hang
    CHINESE JOURNAL OF AERONAUTICS, 2023, 36 (07) : 460 - 475
  • [25] Robust Mode Transition Attitude Control of Tail-Sitter Unmanned Aerial Vehicles
    Liu Deyuan
    Liu Hao
    Li Zhaoying
    PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, : 3198 - 3202
  • [26] Simulation and flight experiments of a quadrotor tail-sitter vertical take-off and landing unmanned aerial vehicle with wide flight envelope
    Lyu, Ximin
    Gu, Haowei
    Zhou, Jinni
    Li, Zexiang
    Shen, Shaojie
    Zhang, Fu
    INTERNATIONAL JOURNAL OF MICRO AIR VEHICLES, 2018, 10 (04) : 303 - 317
  • [27] Robust optimal transition maneuvers control for tail-sitter unmanned aerial vehicles
    Yang, Yunjie
    Yang, Jiali
    Wang, Xiangyang
    Zhu, Jihong
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2021, 31 (16) : 8007 - 8029
  • [28] Aerodynamic study on bio-inspired unmanned aerial vehicle wings
    Rajamurugu, N.
    INTERNATIONAL JOURNAL OF SUSTAINABLE AVIATION, 2024, 10 (04)
  • [29] L1 Adaptive Control of a Dual-Rotor Tail-Sitter Unmanned Aerial Vehicle With Input Constraints During Hover Flight
    Zhong, Jingyang
    Song, Bifeng
    Li, Yubin
    Xuan, Jianlin
    IEEE ACCESS, 2019, 7 : 51312 - 51328
  • [30] Design and Attitude Control of a Quad-Rotor Tail-Sitter Vertical Takeoff and Landing Unmanned Aerial Vehicle
    Oosedo, Atsushi
    Konno, Atsushi
    Matsumoto, Takaaki
    Go, Kenta
    Masuko, Koji
    Uchiyama, Masaru
    ADVANCED ROBOTICS, 2012, 26 (3-4) : 307 - 326
12345