Quantitative stability of quadrotor unmanned aerial vehicles

被引:0
|
作者
Yunping Liu
Xianying Li
Tianmiao Wang
Yonghong Zhang
Ping Mei
机构
[1] Nanjing University of Information Science and Technology,Collaborative innovation center of atmospheric environment and equipment in Jiangsu Province, College of information and control
[2] College of mechanical engineering and automation,undefined
[3] Beijing University of Aeronautics & Astronautics Robot Research Institute,undefined
[4] College of Mechanical and Electrical Engineering,undefined
[5] Nanjing University of Aeronautics and Astronautics,undefined
来源
Nonlinear Dynamics | 2017年 / 87卷
关键词
Quadrotor unmanned aerial vehicles; Takeoff; Landing; Yawing; Structural parameters; Dynamics stability; Lyapunov exponent;
D O I
暂无
中图分类号
学科分类号
摘要
This article studies the quantitative stability of quadrotor unmanned aerial vehicles, by analyzing the dynamics model and dynamics stability at the stage of takeoff, landing and yawing, respectively. The dynamics stability problems, such as shaking, losing the tracking accuracy of command and out of control, and the design of structural parameters were investigated in detail. Dynamics stability reflects the dynamics characteristics of the whole systems, which is mainly affected by the structural parameters and control moment. The stability of system can be improved by optimizing structural parameters. The quantitative relationship between structural parameters and dynamics stability is based on the theory of Lyapunov exponent from the designing viewpoint of structural parameter, which aims at improving the reliability and stability of systems. The results indicate that the dynamics stability of systems can be promoted by optimizing the structural parameters of systems, which demonstrates the feasibility and effectiveness of this method.
引用
收藏
页码:1819 / 1833
页数:14
相关论文
共 45 条
  • [41] Quantitative evaluation of unmanned ground vehicle trajectory based on chaos theory
    Sun, Yang
    Xiong, Guangming
    Ma, Xiqing
    Gong, Jianwei
    Chen, Huiyan
    ADVANCES IN MECHANICAL ENGINEERING, 2015, 7 (11) : 1 - 9
  • [42] Model predictive control-based trajectory generation for agile landing of unmanned aerial vehicle on a moving boat
    Prochazka, Ondrej
    Novak, Filip
    Baca, Tomas
    Gupta, Parakh M.
    Penicka, Robert
    Saska, Martin
    OCEAN ENGINEERING, 2024, 313
  • [43] Visual Navigation and Landing Control of an Unmanned Aerial Vehicle on a Moving Autonomous Surface Vehicle via Adaptive Learning
    Zhang, Hai-Tao
    Hu, Bin-Bin
    Xu, Zhecheng
    Cai, Zhi
    Liu, Bin
    Wang, Xudong
    Geng, Tao
    Zhong, Sheng
    Zhao, Jin
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 32 (12) : 5345 - 5355
  • [44] Switchable shape memory polymer bio-inspired adhesive and its application for unmanned aerial vehicle landing
    He, Qingsong
    Zhao, Zefang
    Zhong, Qiyun
    Liu, Siyuan
    Deng, Kai
    Liu, Yongqi
    Zhang, Ning
    Zhao, Zijie
    Zhan, Fengjiang
    Zhao, Jianfeng
    CHINESE JOURNAL OF AERONAUTICS, 2024, 37 (03) : 380 - 390
  • [45] Designing efficient bird-like flapping-wing aerial vehicles: insights from aviation perspective
    Ma, Dongfu
    Song, Bifeng
    Gao, Shijin
    Xue, Dong
    Xuan, Jianlin
    BIOINSPIRATION & BIOMIMETICS, 2024, 19 (06)