Fixed-time quadrotor trajectory tracking neural network backstepping control

被引：0
|
作者：
Wang, Mingyu [1 ,2 ]
Yuan, Xu [1 ,2 ]
Chen, Bing [1 ,2 ]
Lin, Chong [1 ,2 ]
Shang, Yun [1 ,2 ]
机构：
[1] Qingdao Univ, Inst Complex Sci, 308 Ningxia Rd, Qingdao, Peoples R China
[2] Qingdao Univ, Shandong Key Lab Ind Control Technol, 308 Ningxia Rd, Qingdao, Peoples R China
来源：
PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021) | 2021年
基金：
中国国家自然科学基金;
关键词：
fixed-time adaptive control; backstepping; Trajectory tracking; Quadrotor; NONLINEAR-SYSTEMS;
D O I：
10.1109/CCDC52312.2021.9602534
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper aims at the trajectory tracking of a quadrotor. A novel fixed-time backstepping control design scheme is proposed for the quadrotor based on adaptive neural control approach. The suggested adaptive continuous controller ensures that the quadrotor well tracks the desired trajectory in fixed time in spite of appearance of model uncertainties. Finally, simulation results are given to verify the effectiveness of the proposed control strategy.
引用
收藏
页码：6408 / 6413
页数：6
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