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
  • [21] Overview of Landmarks for Autonomous, Vision-Based Landing of Unmanned Helicopters
    Chen, Yong
    Liu, Heng-Li
    IEEE AEROSPACE AND ELECTRONIC SYSTEMS MAGAZINE, 2016, 31 (05) : 14 - 27
  • [22] DISTURBANCE OBSERVER-BASED MOTION CONTROL OF SMALL AUTONOMOUS UNDERWATER VEHICLES
    Wang, Bingheng
    Mihalec, Marko
    Gong, Yongbin
    Pompili, Dario
    Yi, Jingang
    PROCEEDINGS OF THE ASME 11TH ANNUAL DYNAMIC SYSTEMS AND CONTROL CONFERENCE, 2018, VOL 3, 2018,
  • [24] Hybrid Disturbance Observer-Based Anti-Disturbance Composite Control With Applications to Mars Landing Mission
    Xu, Jianwei
    Yu, Xiang
    Qiao, Jianzhong
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 51 (05): : 2885 - 2893
  • [25] Disturbance Observer-Based Path Following Control of Unmanned Surface Vessel with Control Input Saturation and Unknown Disturbance
    Xie, Yangliu
    Luo, Fuyu
    Zeng, Jiangfeng
    Liang, Xu
    Guo, Xiaoye
    2019 5TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND MATERIAL APPLICATION, 2020, 440
  • [26] Disturbance Observer-Based Frequency Regulation for Shipboard Microgrid With Communication Delay
    Ruan, Shi-Tao
    IEEE ACCESS, 2023, 11 : 96753 - 96760
  • [27] A Composite Guidance Law based on the Nonlinear Disturbance Observer-based Control for Mars Pinpoint Landing
    Zhang Yabin
    Guo Lei
    Sun Haibin
    Chen Wenhua
    Wang Sen
    2015 34TH CHINESE CONTROL CONFERENCE (CCC), 2015, : 5224 - 5229
  • [28] Disturbance observer-based visual tracking control scheme for fast moving target
    Ansari, Zahir Ahmed
    Nigam, Madhav Ji
    Kumar, Avnish
    OPTICAL ENGINEERING, 2018, 57 (10)
  • [29] The nonlinear disturbance observer-based control for small rotary-wing unmanned aircraft
    Lei, Xusheng
    Lu, Pei
    Liu, Fang
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING, 2014, 228 (12) : 2168 - 2177
  • [30] Towards Autonomous Autorotation Landing for Small Size Unmanned Helicopters
    Santamaria, D.
    Viguria, A.
    Bejar, M.
    Kondak, K.
    Ollero, A.
    JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2013, 69 (1-4) : 171 - 180