Trajectory tracking for a quadrotor under wind perturbations: sliding mode control with state-dependent gains

被引:54
作者
Perozzi, Gabriele [1 ,2 ]
Efimov, Denis [3 ]
Biannic, Jean-Marc [4 ]
Planckaert, Laurent [1 ,2 ]
机构
[1] Off Natl Etud & Rech Aerosp, French Aerosp Lab, DAAA, F-59014 Lille, France
[2] LMFL, F-59000 Lille, France
[3] Univ Lille, CNRS, UMR 9189, Inria,CRISTAL, F-59000 Lille, France
[4] Off Natl Etud & Rech Aerosp, French Aerosp Lab, DTIS, F-31055 Toulouse, France
来源
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2018年 / 355卷 / 12期
关键词
ATTITUDE TRACKING; UAV; SYSTEMS; OBSERVER;
D O I
10.1016/j.jfranklin.2018.04.042
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 problem of position tracking of a mini drone subject to wind perturbations is investigated. The solution is based on a detailed unmanned aerial vehicle (UAV) model, with aerodynamic coefficients and external disturbance components, which is introduced in order to better represent the impact of the wind field. Then, upper bounds of wind-induced disturbances are characterized, which allow a sliding mode control (SMC) technique to be applied with guaranteed convergence properties. The peculiarity of the considered case is that the disturbance upper bounds depend on the control amplitude itself (i.e. the system is nonlinear in control), which leads to a new procedure for the control tuning presented in the paper. The last part of the paper is dedicated to the analysis and reduction of chattering effects, as well as investigation of rotor dynamics issues. Conventional SMC with constant gains, proposed first order SMC, and proposed quasi-continuous SMC are compared. Nonlinear UAV simulator, validated through in-door experiments, is used to demonstrate the effectiveness of the proposed controls. (C) 2018 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:4809 / 4838
页数:30
相关论文
共 25 条
  • [11] Adaptive Fuzzy Hierarchical Sliding-Mode Control for the Trajectory Tracking of Uncertain Underactuated Nonlinear Dynamic Systems
    Hwang, Chih-Lyang
    Chiang, Chiang-Cheng
    Yeh, Yao-Wei
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2014, 22 (02) : 286 - 299
  • [12] Johnson W., 2012, Helicopter Theory
  • [13] Khalil H. K., 2002, Nonlinear Systems (Pearson Education)., V115
  • [14] Leishman G. J., 2006, PRINCIPLES HELICOPTE
  • [15] Perozzi Gabriele, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC), P5403, DOI 10.1109/CDC.2017.8264459
  • [16] Perozzi G., 2018, P AM CONTR C
  • [17] Finite-time observers: Application to secure communication
    Perruquetti, Wilfrid
    Floquet, Thierry
    Moulay, Emmanuel
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2008, 53 (01) : 356 - 360
  • [18] Planckaert L., 2015, P INT MICR VEH C FLI
  • [19] Stability notions and Lyapunov functions for sliding mode control systems
    Polyakov, Andrey
    Fridman, Leonid
    [J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2014, 351 (04): : 1831 - 1865
  • [20] Robust Backstepping Control Based on Integral Sliding Modes for Tracking of Quadrotors
    Ramirez-Rodriguez, Heriberto
    Parra-Vega, Vicente
    Sanchez-Orta, Anand
    Garcia-Salazar, Octavio
    [J]. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2014, 73 (1-4) : 51 - 66