广西师范大学学报(自然科学版) ›› 2018, Vol. 36 ›› Issue (2): 56-62.doi: 10.16088/j.issn.1001-6600.2018.02.008

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四旋翼无人机滑模自抗扰控制

唐堂,罗晓曙*,吕万德,刘欣   

  1. 广西师范大学电子工程学院,广西桂林 541004
  • 收稿日期:2017-10-19 出版日期:2018-05-10 发布日期:2018-07-18
  • 通讯作者: 罗晓曙(1961—),男,湖北应城人,广西师范大学教授,博士。E-mail:lxs@mailbox.gxnu.edu.cn
  • 基金资助:
    国家自然科学基金 (11262004);广西多源信息挖掘与安全重点实验室开放基金 (MIMS5-06);广西信息科学实验中心自主项目(KA1430);广西研究生教育创新计划(XYCSZ2017051)

Sliding Mode Active Disturbance Rejection Control of Quadrotor Unmanned Aerial Vehicle

TANG Tang,LUO Xiaoshu*,Lü Wande,LIU Xin   

  1. College of Electronic Engineering,Guangxi Normal University,Guilin Guangxi 541004,China
  • Received:2017-10-19 Online:2018-05-10 Published:2018-07-18

摘要: 针对四旋翼无人机易受到非线性、多目标以及控制量受限和其他不确定性因素干扰的影响,本文基于自抗扰控制和滑模控制设计了一种滑模自抗扰控制器。在被控对象姿态角速度未知的情况下,该控制器采用扩张状态观测器对无人机的姿态角速度和未知干扰进行观测;再将估计的姿态角速度和干扰用于控制器的反馈和控制量的补偿;最后利用Lyapunov理论证明控制系统的稳定性。仿真结果表明,本文设计的滑模自抗扰控制器可以保证观测误差的快速收敛,实现被观测量的高精度估计;在姿态角速度未知的情况下,仍可保持稳定的姿态控制。

关键词: 四旋翼无人机, 扩张状态观测器, 滑模控制, 自抗扰控制, 姿态控制

Abstract: In this paper, a sliding mode active disturbance rejection controller is designed based on active disturbance rejection control and sliding mode control for quadrotor unmanned aerial vehicle, which is susceptible to nonlinearity, multiple targets, limit of control and other disturbance of uncertainties. Considering the unknown attitude angle velocity of the controlled targets, the controller can observe the attitude angular velocity and unknown interference of UAV by designing the extended state observer. The estimated angular velocity is used for the feedback of controller, meanwhile the observed disturbance compensates the amount of control. Based on Lyapunov theory, the stability of the control system is proved. The simulation results show that sliding mode active disturbance rejection controller can guarantee the fast convergence of the observed error, realize the high accuracy estimation of the observed amount, and continue to keep a stable attitude control without the angular velocity feedback.

Key words: quadrotor unmanned aerial vehicle, extended state observer, sliding mode control, active disturbance rejection control, attitude control

中图分类号: 

  • TP273
[1] XU G, ZHOU M. Modified adaptive flight control of quadrotor based on single neuron PID[C]//IEEE Third International Conference on Information Science and Technology. Piscataway, NJ:IEEE Press, 2013:313-316.
[2] TAN L, LU L, JIN G. Attitude stabilization control of a quadrotor helicopter using integral backstepping[C]//International Conference on Automatic Control and Artificial Intelligence. Stevenage: Herts, IET, 2013:573-577.
[3] 许喆. 基于SMC的四旋翼无人机抗风扰研究[J].电光与控制, 2017(1):67-71.
[4] 刘凯悦, 冷建伟. 基于滑模控制的四旋翼无人机自适应跟踪控制[J].飞行力学, 2017, 35(1):43-47.
[5] 王锐, 刘金琨. 基于高增益观测器的四旋翼无人机轨迹跟踪控制[J].飞行力学, 2017, 35(1):39-42.
[6] NIU T, XIONG H, ZHAO S. Based on ADRC UAV longitudinal pitching angle control research[C]//Information Technology, Networking, Electronic and Automation Control Conference. Piscataway, NJ:IEEE Press, 2016:21-25.
[7] LI J, LI R, ZHENG H. Quadrotor modeling and control based on linear active disturbance rejection control[C]//Control Conference. Piscataway, NJ:IEEE Press, 2016:10651-10656.
[8] 窦景欣, 孔祥希, 闻邦椿. 四旋翼姿态的反步滑模自抗扰控制及稳定性[J].东北大学学报(自然科学版), 2016, 37(10):1415-1420.
[9] 钟海鑫, 罗晓曙, 赵帅,等. 基于改进精英蚁群系统算法的四旋翼无人机姿态控制研究[J].广西师范大学学报(自然科学版), 2016, 34(4):85-92.
[10] 钟海鑫, 丘森辉, 罗晓曙,等. 基于附加惯性项BP神经网络的四旋翼无人机姿态控制研究[J].广西师范大学学报(自然科学版), 2017, 35(2):24-31.
[11] XU R, ZGNER . Sliding mode control of a class of underactuated systems[J].Automatica, 2008, 44(1):233.
[12] 杜金刚. 基于动态逆方法的飞行控制系统设计与仿真[D].西安:西北工业大学, 2006.
[13] BERTRAND S, GU NARD N, HAMEL T, et al. A hierarchical controller for miniature VTOL UAVs: design and stability analysis using singular perturbation theory[J].Control Engineering Practice, 2011, 19(10):1099-1108.
[14] 王新华, 陈增强, 袁著祉. 基于扩张观测器的非线性不确定系统输出跟踪[J].控制与决策, 2004, 19(10):1113.
[15] SUN J, IOANNOU P A. Robust adaptive control[M]. Upper Saddle River, NJ:Prentice Hall,1995.
[16] KHALIL H K. Nonlinear systems[M]. 3rd Ed. Upper Saddle River, NJ: Prentice Hall, 2002.
[17] HUANG X, LIN W, YANG B. Global finite-time stabilization of a class of uncertain nonlinear systems[J].Automatica, 2005, 41(5):881-888.
[18] WANG X, CHEN Z, YANG G. Finite-time-convergent differentiator based on singular perturbation technique[J].IEEE Transactions on Automatic Control, 2007, 52(9):1731-1737.
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