Nonlinear Large Maneuver Control of Thrust Vector UAV for Flying-Wing Layout

被引:1
|
作者
Chen, Zhuoying [1 ]
Li, Huiping [1 ]
Chen, Huaimin [2 ]
Zhou, Shaobo [1 ]
机构
[1] Northwestern Polytech Univ, Sch Marine Sci & Technol, Xian 710072, Peoples R China
[2] Northwestern Polytech Univ, Natl Def Key Lab UAV Special Technol, Xian 710072, Peoples R China
关键词
Thrust vector; Dynamic inversion; Flying-wing layout; Immelman maneuver; ATTITUDE-CONTROL; INVERSION;
D O I
10.1109/DDCLS58216.2023.10166709
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The flying-wing layout UAV (Unmanned Aerial Vehicle) adopts the aerodynamic layout of wing-body fusion. Compared with conventional aircraft, the cancellation of vertical tail and other protruding components reduces the cross-sectional area of radar reflection, but also brings about directional static instability, transverse & longitudinal aerodynamic coupling and other defects, which bring challenges to the design of control law. Therefore, an improved dynamic inverse algorithm is proposed in this paper, which constructs a pseudo-linear system to eliminate nonlinear factors of the original system. Moreover, the effectiveness of the method is verified by route-tracking simulation. Since the relative shorter steering force arm and rapid decrease of control surface efficiency, flying-wing UAV is difficult to realize maneuver flight only by relying on the aerodynamic moment. Therefore, this paper designs a control allocation method based on serial-chain. The additional control moment generated by the vector thrust is used to compensate for the shortage of aerodynamic moment. The maneuverability of the aircraft is effectively enhanced and the simulation of Immelman large maneuver is completed.
引用
收藏
页码:763 / 769
页数:7
相关论文
共 50 条
  • [21] Attitude control of a mini flying-wing UAV using the multiple simultaneous specification design method
    Markin S.R.
    Mills J.K.
    Canadian Aeronautics and Space Journal, 2011, 57 (02): : 130 - 142
  • [22] Flying-wing UAV landing control and simulation based on mixed H2/H∞
    Wang, Rui
    Zhou, Zhou
    Shen, Yanhang
    2007 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS I-V, CONFERENCE PROCEEDINGS, 2007, : 1523 - +
  • [23] Flight Control System Design for a Flying-Wing Aircraft
    Xu Mingxing
    Zhu Xiaoping
    Zhou Zhou
    Zhang Bo
    2013 IEEE INTERNATIONAL CONFERENCE OF IEEE REGION 10 (TENCON), 2013,
  • [24] Lateral Control Reconfiguration of Tailless Flying-wing UAV Based on L1 Adaptive Control Method
    Li, Weihua
    Zhang, Weiguo
    Shi, Jingping
    Qu, Xiaobo
    Fu, Yunhao
    Che, Jun
    Zhou, Haijun
    2018 IEEE CSAA GUIDANCE, NAVIGATION AND CONTROL CONFERENCE (CGNCC), 2018,
  • [25] Modeling and Analysis of a Tricopter/Flying-Wing Convertible UAV with Tilt-Rotors
    Bautista, Jose A.
    Osorio, Antonio
    Lozano, Rogelio
    2017 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS'17), 2017, : 672 - 681
  • [26] A Moving Frame Trajectory Tracking Method of a Flying-Wing UAV Using the Differential Geometry
    Zhu, Yi
    Chen, Xin
    Li, Chuntao
    INTERNATIONAL JOURNAL OF AEROSPACE ENGINEERING, 2016, 2016
  • [27] Landing control system design for a flying-wing aircraft based on ADRC
    Wang, Yanxiong
    Zhu, Xiaoping
    Zhou, Zhou
    Shao, Zhuang
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, 8917 : 340 - 351
  • [28] Design and Analysis of a Thrust Vector Mechanism Applied in a Flying Wing
    Zhu, Yanhe
    Wang, Hongwei
    Gao, Liang
    Zhao, Jie
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND CONTROL SYSTEMS (MECS2015), 2016, : 71 - 74
  • [29] Flexible Flying-Wing UAV Attitude Control Based on Back-Stepping, Adaptive and Terminal-Sliding Mode
    Feng, Yinan
    Zhu, Xiaoping
    Zhou, Zhou
    Wang, Yanxiong
    INTELLIGENT ROBOTICS AND APPLICATIONS, ICIRA 2014, PT I, 2014, 8917 : 328 - 339
  • [30] Landing Control System Design for a Flying-Wing Aircraft Based on ADRC
    Wang, Yanxiong
    Zhu, Xiaoping
    Zhou, Zhou
    Shao, Zhuang
    INTELLIGENT ROBOTICS AND APPLICATIONS, ICIRA 2014, PT I, 2014, 8917 : 340 - 351