Journal of Jilin University(Engineering and Technology Edition) ›› 2022, Vol. 52 ›› Issue (8): 1926-1933.doi: 10.13229/j.cnki.jdxbgxb20210155

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Ground effects compensation for an unmanned aerial vehicle via nonlinear disturbance observer

Bin XIAN1(),Jie-qi LI1,Xun GU1,2   

  1. 1.School of Electrical and Information Engineering,Tianjin University,Tianjin 300072,China
    2.School of Electronics and Communication Engineering,Guiyang University,Guiyang 550005,China
  • Received:2021-02-26 Online:2022-08-01 Published:2022-08-12

Abstract:

In this paper, a novel nonlinear control strategy based on the nonlinear disturbance observer is developed to compensate the unknown ground effects during the landing procedure. Owing to the intricacy of the ground effects, it is very hard to obtain the precise dynamic model for the UAV's landing procedure. To solve this issue, a nonlinear observer is designed to estimate the unknown disturbance introduced by the ground effects. Then the fast terminal sliding mode control method is combined with the disturbance observer to formulate a new nonlinear robust landing control strategy which is able to suppress the unknown ground effects and drive the quadrotor to its desired landing point accurately. The Lyapunov based stability analysis is employed to prove the stability of the closed loop system, and the finite-time convergence of the UAV's altitude control error together with the disturbance estimation errors are guaranteed. Real-time flight experimental results are presented to show the good landing control performance of the proposed control strategy.

Key words: unmanned aerial vehicle, landing control, disturbance observer, ground effects, finite-time convergence

CLC Number: 

  • TP273

Table 1

Parameters of MATLAB Simulation"

变量名称参数值变量名称参数值
m1p05
g9.8α15
Jx0.082ξ110
Jy0.0845μ15
Jz0.1377ν17
k10α20.2
β2ξ20.1
ε50μ21
q09ν23

Fig.1

MALTAB Simulation: comparison of preset and estimated disturbance"

Table 2

Parameters of experiment"

变量名称数值变量名称数值
m1.473p03
g9.8α13
δ0.5ξ13
ρ0.2μ13
ks8ν15
k10α24
β20ξ26
ε40μ23
q07ν25

Fig.2

Altitude channel tracking experiment: height of quadrotor with no compensation"

Fig.3

Altitude channel tracking experiment: height of quadrotor with compensation"

Fig.4

Landing control experiment: height of quadrotor with no compensation"

Fig.5

Landing control experiment: height of quadrotor with compensation"

1 鲜斌, 张诗婧, 韩晓薇, 等. 基于强化学习的无人机吊挂负载系统轨迹规划[J]. 吉林大学学报: 工学版, 2021, 51(6): 2259-2267.
Xian Bin, Zhang Shi-jing, Han Xiao-wei, et al. Trajectory planning for unmanned aerial vehicle slung⁃payload aerial transportation system based on reinforcement learning[J].Journal of Jilin University(Engineering and Technology Edition), 2021, 51(6): 2259-2267.
2 王征宇, 鲜斌. 倾转式三旋翼无人机的有限时间收敛控制设计[J]. 控制理论与应用, 2019, 36(9): 1442-1452.
Wang Zheng-yu, Xian Bin. Finite time convergence control design of the tilt tri-rotor unmanned aerial vehicle[J]. Control Theory & Applications, 2019, 36(9): 1442-1452.
3 Yi F, Cong Z, Stanley B, et al. Autonomous landing of a UAV on a moving platform using model predictive control[J]. Drones, 2018, 2(4): 2040034.
4 韩晓薇, 鲜斌, 杨森. 无人机吊挂空运系统的自适应控制设计[J]. 控制理论与应用, 2020, 37(5): 999-1006.
Han Xiao-wei, Xian Bin, Yang Sen. Adaptive controller design for an unmanned quadrotor transportation system[J]. Control Theory & Applications, 2020, 37(5): 999-1006.
5 张勇, 陈增强, 张兴会, 等. 基于自抗扰的四旋翼无人机动态面姿态控制[J]. 吉林大学学报: 工学版, 2019, 49(2): 562-569.
Zhang Yong, Cheng Zeng-qiang, Zhang Xing-hui, et al. Dynamic surface attitude xontrol of quad-rotor UVA based on ADRC[J]. Journal of Jilin University(Engineering and Technology Edition), 2019, 49(2): 562-569.
6 李正平, 鲜斌. 基于虚拟结构法的分布式多无人机鲁棒编队控制[J]. 控制理论与应用, 2020, 37(11): 2423-2431.
Li Zheng-ping, Xian Bin. Robust distributed formation control of multiple unmanned aerial vehicles based on virtual structure[J]. Control Theory & Applications, 2020, 37(11): 2423-2431.
7 Kan Y X, Justin T, Teng H Z, et al. Analysis of ground effect for small-scale UAVs in forward flight[J]. IEEE Robotics and Automation Letters, 2019, 4(4): 3860-3867.
8 Matus-Vargas A, Rodríguez-Gómez G, Martínez-Carranza J. Aerodynamic disturbance rejection acting on a quadcopter near ground[C]∥Proc of 2019 6th International Conference on Control, Decision and Information Technologies(CoDIT), Paris, France, 2019: 1516-1521.
9 Lee L, Nguyen A T, Xuan-Mung N, et al. Quadrotor trajectory tracking control against uncertainties for autonomous landing task[C]∥Proc of 2019 19th International Conference on Control, Automation and Systems (ICCAS), Jeju, Korea (South), 2019: 55-60.
10 Nathan N D, Green R B. The flow around a model helicopter main rotor in ground effect[J]. Experiments in Fluids, 2012, 52(1): 151-166.
11 Li D J, Zhou Y, Shi Z Y, et al. Autonomous landing of quadrotor based on ground effect modelling[C]∥Proc of 2015 34th Chinese Control Conference (CCC), Hangzhou, China, 2015: 5647-5652.
12 Shi G Y, Shi X C, Michael O'Connell, et al. Neural lander: stable drone landing control using learned dynamics[C]∥Proc of 2019 IEEE International Conference on Robotics and Automation(ICRA), Montreal, QC, Canada, 2019: 9784-9790.
13 Lee D, Ryan T, Jin H. Autonomous landing of a VTOL UAV on a moving platform using image-based visual servoing[C]∥Proc of 2012 IEEE International Conference on Robotics and Automation(ICRA), St Paul, USA, 2012: 971-976.
14 Filiberto M, González-Hernández I, Sergio S, et al. Second order sliding mode controllers for altitude control of a quadrotor UAS: real-time implementation in outdoor environments[J]. Neurocomputing, 2017, 233: 61-71.
15 Man Z H, Yu X H. Terminal sliding mode control of MIMO linear systems[J]. IEEE Transactions on Circuits and Systems, 1997, 44(11): 1065-1070.
16 Yu X H, Man Z H. Fast terminal sliding mode control design for nonlinear dynamical systems[J]. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 2002, 49(2): 261-264.
17 Yong F, Yu X H, Man Z H. Nonsingular terminal sliding mode control of rigid manipulators[J]. Automatica, 2002, 38(12): 2159-2167.
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