Robust backstepping control for attitude tracking of a quadrotor based on integral linear extended state observer under input saturation

被引:3
作者
Chen, Junyu [1 ]
Long, Yue [1 ]
Li, Tieshan [1 ,2 ]
机构
[1] Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu 611731, Peoples R China
[2] Univ Elect Sci & Technol China, Yangtze Delta Reg Inst, Huzhou 313000, Peoples R China
基金
中国国家自然科学基金;
关键词
Quadrotor; Sliding mode differentiator; Robust backstepping controller; Integral linear extended state observer (ILESO); Measurement noise; Input saturation; SLIDING MODE CONTROL; TRAJECTORY TRACKING; HELICOPTER;
D O I
10.1007/s11071-024-09287-3
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
In this paper, a novel and robust backstepping controller is introduced for a quadrotor system by combining an integral linear extended state observer (ILESO), an auxiliary dynamic system, and a sliding mode differentiator. The ILESO is specifically designed to observe unmeasured states and address the challenges posed by the 'lump disturbance', encompassing unknown external disturbances and modeling uncertainties, while also mitigating measurement noise effects. To contend with input saturation in the quadrotor, an auxiliary dynamic system is implemented. Additionally, a sliding mode differentiator is employed to counteract the differential explosion issue inherent in traditional backstepping controllers. The controller's efficacy is established through the assurance of the quadrotor's capability to accurately track desired attitudes. The uniform ultimate boundedness of all signals in the closed-loop system is demonstrated using the Lyapunov theory. Simulation results further illustrate the effectiveness and superiority of the proposed controller.
引用
收藏
页码:4573 / 4584
页数:12
相关论文
共 29 条
[1]   Disturbance observer-based feedback linearization control of an unmanned quadrotor helicopter [J].
Aboudonia, Ahmed ;
El-Badawy, Ayman ;
Rashad, Ramy .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2016, 230 (09) :877-891
[2]   Quadrotor trajectory tracking and obstacle avoidance by chaotic grey wolf optimization-based active disturbance rejection control [J].
Cai, Zhihao ;
Lou, Jiang ;
Zhao, Jiang ;
Wu, Kun ;
Liu, Ningjun ;
Wang, Ying Xun .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2019, 128 :636-654
[3]   Adaptive compensation control of the quadrotor helicopter using quantum information technology and disturbance observer [J].
Chen, Fuyang ;
Lu, Feifei ;
Jiang, Bin ;
Tao, Gang .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2014, 351 (01) :442-455
[4]   Backstepping Approach for Controlling a Quadrotor Using Lagrange Form Dynamics [J].
Das, Abhijit ;
Lewis, Frank ;
Subbarao, Kamesh .
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2009, 56 (1-2) :127-151
[5]  
Gao ZQ, 2003, P AMER CONTR CONF, P4989
[6]   Passivity-based adaptive backstepping control of quadrotor-type UAVs [J].
Ha, ChangSu ;
Zuo, Zhiyuan ;
Choi, Francis B. ;
Lee, Dongjun .
ROBOTICS AND AUTONOMOUS SYSTEMS, 2014, 62 (09) :1305-1315
[7]   From PID to Active Disturbance Rejection Control [J].
Han, Jingqing .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2009, 56 (03) :900-906
[8]   Adaptive Fuzzy Backstepping Asymptotic Disturbance Rejection of Multiagent Systems With Unknown Model Dynamics [J].
Hu, Xin ;
Long, Yue ;
Li, Tieshan ;
Chen, C. L. Philip .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 30 (11) :4775-4787
[9]   Tracking differentiator and extended state observer-based nonsingular fast terminal sliding mode attitude control for a quadrotor [J].
Hua, Chang-Chun ;
Wang, Kai ;
Chen, Jian-Nan ;
You, Xiu .
NONLINEAR DYNAMICS, 2018, 94 (01) :343-354
[10]  
Huang M, 2010, P AMER CONTR CONF, P2076