Quaternion Feedback Based Autonomous Control of a Quadcopter UAV with Thrust Vectoring Rotors

被引:0
|
作者
Kumar, Rumit [1 ]
Bhargavapuri, Mahathi [2 ]
Deshpande, Aditya M. [1 ]
Sridhar, Siddharth [1 ]
Cohen, Kelly [1 ]
Kumar, Manish [1 ]
机构
[1] Univ Cincinnati, Cincinnati, OH 45221 USA
[2] Indian Inst Technol, Kanpur, Uttar Pradesh, India
关键词
TRACKING CONTROL;
D O I
10.23919/acc45564.2020.9147794
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we present an autonomous flight controller for a quadcopter with thrust vectoring capabilities. This UAV falls in the category of multirotors with tilt-motion enabled rotors. Since the vehicle considered is over-actuated in nature, the dynamics and control allocation have to be analysed carefully. Moreover, the possibility of hovering at large attitude maneuvers of this novel vehicle requires singularity-free attitude control. Hence, quaternion state feedback is utilized to compute the control commands for the UAV motors while avoiding the gimbal lock condition experienced by Euler angle based controllers. The quaternion implementation also reduces the overall complexity of state estimation due to absence of trigonometric parameters. The quadcopter dynamic model and state space is utilized to design the attitude controller and control allocation for the UAV. The control allocation, in particular, is derived by linearizing the system about hover condition. This mathematical method renders the control allocation more accurate than existing approaches. Lyapunov stability analysis of the attitude controller is shown to prove global stability. The quaternion feedback attitude controller is commanded by an outer position controller loop which generates rotor-tilt and desired quaternions commands for the system. The performance of the UAV is evaluated by numerical simulations for tracking attitude step commands and for following a waypoint navigation mission.
引用
收藏
页码:3828 / 3833
页数:6
相关论文
共 50 条
  • [1] DEVELOPMENTAL REINFORCEMENT LEARNING OF CONTROL POLICY OF A QUADCOPTER UAV WITH THRUST VECTORING ROTORS
    Deshpande, Aditya M.
    Kumar, Rumit
    Minai, Ali A.
    Kumar, Manish
    PROCEEDINGS OF THE ASME DYNAMIC SYSTEMS AND CONTROL CONFERENCE, DSCC2020, VOL 2, 2020,
  • [2] Feedback control for counterflow thrust vectoring
    Collins, EG
    Zhao, YN
    Alvi, F
    Alidu, MI
    Strykowski, PJ
    PROCEEDINGS OF THE 2004 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2004, : 3654 - 3659
  • [3] Design and implementation of feedback control for counterflow thrust vectoring
    Zhao, YN
    Collins, EG
    Alvi, F
    Dores, D
    JOURNAL OF PROPULSION AND POWER, 2005, 21 (05) : 815 - 821
  • [4] Mathematical Modelling and Fluidic Thrust Vectoring Control of a Delta Wing UAV
    Tanveer, Ahsan
    Ahmad, Sarvat Mushtaq
    AEROSPACE, 2023, 10 (06)
  • [5] Attitude Control of a Fixed-Wing UAV Using Thrust Vectoring System
    Kikkawa, Hirotaka
    Uchiyama, Kenji
    2017 WORKSHOP ON RESEARCH, EDUCATION AND DEVELOPMENT OF UNMANNED AERIAL SYSTEMS (RED-UAS), 2017, : 264 - 269
  • [6] Thrust Vectoring Control of a Novel Tilt-Rotor UAV Based on Backstepping Sliding Model Method
    Yu, Zelong
    Zhang, Jingjuan
    Wang, Xueyun
    SENSORS, 2023, 23 (02)
  • [7] UAV Dynamic Behaviour Comparison of Quadcopter Based on Thrust Differential and Tilted Rotor
    Abdullah, M. R.
    Kuntjoro, W.
    Nasir, Mohd R. E.
    JOURNAL OF AERONAUTICS ASTRONAUTICS AND AVIATION, 2021, 53 (02): : 257 - 262
  • [8] Quaternion Based Geometric Control of Quadrotor UAV
    An Honglei
    Li Jie
    Ma Hongxu
    Chen Kewei
    PROCEEDINGS OF THE 2012 24TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2012, : 1366 - 1370
  • [9] Position Tracking Control of Tailsitter VTOL UAV With Bounded Thrust-Vectoring Propulsion System
    Wu, Linfeng
    Li, Huanyu
    Li, Yingjie
    Li, Chunwen
    IEEE ACCESS, 2019, 7 : 137054 - 137064
  • [10] Fuzzy Logic-Based Robust and Autonomous Safe Landing for UAV Quadcopter
    Talha, Muhammad
    Asghar, Furqan
    Rohan, Ali
    Rabah, Mohammed
    Kim, Sung Ho
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2019, 44 (03) : 2627 - 2639