Disturbance observer-based autonomous landing control of unmanned helicopters on moving shipboard

被引:12
|
作者
Yu, Xin [1 ,2 ,3 ]
Yang, Jun [1 ,2 ,3 ]
Li, Shihua [1 ,2 ]
机构
[1] Southeast Univ, Sch Automat, Nanjing 210096, Peoples R China
[2] Minist Educ, Key Lab Measurement & Control Complex Syst Engn, Nanjing, Peoples R China
[3] Southeast Univ, Shenzhen Res Inst, Shenzhen 518063, Peoples R China
基金
中国国家自然科学基金;
关键词
Unmanned helicopters; Landing control; Moving shipboard; Joint state and disturbance observer; Continuous terminal sliding mode control; FINITE-TIME STABILITY; TRACKING CONTROL; SLIDING MODES; QUADROTOR; DESIGN;
D O I
10.1007/s11071-020-05915-w
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
In this paper, the autonomous landing control issue on moving shipboard is investigated for unmanned helicopters subject to disturbances. The issue is studied by stabilizing the error system of the helicopter and the shipboard. The landing process is divided into two phases, i.e., homing phase, where a hierarchical double-loop control scheme is developed such that the helicopter is forced to hover synchronously at a certain altitude over the shipboard, and landing phase, where a composite landing control scheme is proposed such that the helicopter lands vertically on the shipboard in synchronization with its attitudes. The velocity and acceleration information of the shipboard as well as lump disturbances is estimated through joint state and disturbance observers. The estimates are then incorporated into the baseline feedback controller, formulating composite active anti-disturbance landing control schemes. A continuous terminal sliding mode control method is proposed for the feedback controller design, which not only effectively mitigates the chattering of the control action, but also simplifies the design process of the controller. Numerical simulations demonstrate the effectiveness and superiorities of the proposed control schemes.
引用
收藏
页码:131 / 150
页数:20
相关论文
共 50 条
  • [31] Towards Autonomous Autorotation Landing for Small Size Unmanned Helicopters
    D. Santamaría
    A. Viguria
    M. Bejar
    K. Kondak
    A. Ollero
    Journal of Intelligent & Robotic Systems, 2013, 69 : 171 - 180
  • [32] A Disturbance Observer-Based Control of Drilling Vibrations
    Stinga, Florin
    Danciu, Daniela
    2019 20TH INTERNATIONAL CARPATHIAN CONTROL CONFERENCE (ICCC), 2019, : 833 - 838
  • [33] Disturbance Observer-based Attitude Control for a Quadrotor
    Zhao, Yongsheng
    Cao, Yabo
    Fan, Yunsheng
    2017 4TH INTERNATIONAL CONFERENCE ON INFORMATION, CYBERNETICS AND COMPUTATIONAL SOCIAL SYSTEMS (ICCSS), 2017, : 355 - 360
  • [34] Disturbance observer-based passivity and impedance control for trajectory tracking in autonomous hydraulic excavators
    Gong, Junjie
    Chen, Jian
    Cai, Dengsheng
    Wei, Wei
    Long, Yu
    Automation in Construction, 2025, 170
  • [35] Disturbance observer-based boundary control for a suspension cable system moving in the horizontal plane
    Ren, Yong
    Chen, Mou
    Wu, Qingxian
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2019, 41 (02) : 340 - 349
  • [36] Nonlinear Disturbance Observer-Based Bearing-Only Unmanned Aerial Vehicle Formation Control
    Ding, Can
    Zhang, Jing
    Zhang, Zhe
    AXIOMS, 2023, 12 (08)
  • [37] Fixed-time disturbance observer-based accurate formation control of unmanned surface vehicles
    Yu M.-Y.
    Li Z.-K.
    Wang B.-H.
    Kongzhi yu Juece/Control and Decision, 2023, 38 (02): : 379 - 387
  • [38] Disturbance observer-based robust coordination control for unmanned autonomous helicopter slung-load system via coupling analysis method
    Liu, Lijun
    Chen, Mou
    Li, Tao
    APPLIED MATHEMATICS AND COMPUTATION, 2022, 427
  • [39] Disturbance Interval Observer-Based Robust Constrained Control for Unmanned Aerial Vehicle Path Following
    Song, Yaping
    Yong, Kenan
    Wang, Xiaolong
    DRONES, 2023, 7 (02)
  • [40] Disturbance observer-based visual servoing for multirotor unmanned aerial vehicles
    Xie, Hui
    He, Zhen
    Veitch, Darryl
    AT-AUTOMATISIERUNGSTECHNIK, 2018, 66 (03) : 258 - 267