Vision-based bio-inspired guidance law for small aerial vehicle

被引:0
|
作者
Wang Zhengjie [1 ]
Huang Weilin [1 ]
Yan Yonghong [2 ]
机构
[1] School of Mechatronical Engineering, Beijing Institute of Technology
[2] Key Lab of Speech Acoustics and Content Understanding, Institute of Acoustics, Chinese Academy of
关键词
D O I
暂无
中图分类号
V249 [飞行控制系统与导航];
学科分类号
081105 ;
摘要
During predation, a flying insect can form a stealth flight path. This behavior is called motion camouflage. Based on the study results of this behavior, the perception and neurology of flying insects, a novel bio-inspired guidance law is proposed for the terminal guidance for small aerial vehicle with charge-coupled device imaging seekers. The kinematics relationship between a small aerial vehicle and target is analyzed, and a two-dimensional guidance law model is established by using artificial neural networks. To compare with the proportional guidance law, the numerical simulations are carried out in the vertical plane and in the horizontal plane respectively. The simulation results show that the ballistic of the small aerial vehicle is straighter and the normal acceleration is smaller by using the bio-inspired guidance law than by using the proportional guidance law. That is to say, the bio-inspired guidance law just uses the information of the target from the imaging seeker,but the performance of it can be better than that of the proportional guidance law.
引用
收藏
页码:260 / 267
页数:8
相关论文
共 50 条
  • [1] Vision-based bio-inspired guidance law for small aerial vehicle
    Wang Zhengjie
    Huang Weilin
    Yan Yonghong
    Chinese Journal of Aeronautics, 2015, (01) : 260 - 267
  • [2] Vision-based bio-inspired guidance law for small aerial vehicle
    Wang Zhengjie
    Huang Weilin
    Yan Yonghong
    CHINESE JOURNAL OF AERONAUTICS, 2015, 28 (01) : 260 - 267
  • [3] A Bio-Inspired and Solely Vision-Based Model for Autonomous Navigation
    Sun, Xuelong (xsun@gzhu.edu.cn); Peng, Jigen (jgpeng@gzhu.edu.cn), 1600, Institute of Electrical and Electronics Engineers Inc.
  • [4] Vision-Based Estimation for Guidance, Navigation, and Control of an Aerial Vehicle
    Kaiser, M. K.
    Gans, N. R.
    Dixon, W. E.
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2010, 46 (03) : 1064 - 1077
  • [5] Guidance law design for vision-based unmanned aerial vehicle ground target tracking in wind
    Li X.-Q.
    Sun X.-X.
    Peng J.-L.
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2011, 33 (11): : 2463 - 2467
  • [6] Bio-Inspired Neural Adaptive Control of a Small Unmanned Aerial Vehicle Based on Airflow Sensors
    Ren, Zijun
    Fu, Wenxing
    Zhu, Supeng
    Yan, Binbin
    Yan, Jie
    SENSORS, 2018, 18 (10)
  • [7] Vision-based vehicle guidance
    Bertozzi, M
    Broggi, A
    COMPUTER, 1997, 30 (07) : 49 - &
  • [8] Vision-based Guidance for an Unmanned Aerial Vehicle Following a Moving Target
    Qin Tian
    Chen Wanchun
    Xing Xiaolan
    MANUFACTURING SCIENCE AND TECHNOLOGY, PTS 1-8, 2012, 383-390 : 7556 - +
  • [9] Bio-inspired Bio-inspired computer vision based on neural networks
    Antón-Rodríguez M.
    González-Ortega D.
    Díaz-Pernas F.J.
    Martínez-Zarzuela M.
    de la Torre-Díez I.
    Boto-Giralda D.
    Díez-Higuera J.F.
    Pattern Recognition and Image Analysis, 2011, 21 (2) : 108 - 112
  • [10] Bio-Inspired Model for Gestures Recognition through Vision-based Movement Primitives
    Nope, Sandra E.
    Loaiza, Humberto
    Caicedo, Eduardo
    REVISTA IBEROAMERICANA DE AUTOMATICA E INFORMATICA INDUSTRIAL, 2008, 5 (04): : 69 - +