Finite-time distributed cooperative attitude control for multiple spacecraft with actuator saturation

被引:25
|
作者
Lu, Pingli [1 ]
Gan, Chao [1 ]
Liu, Xiangdong [1 ]
机构
[1] Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China
基金
美国国家科学基金会; 高等学校博士学科点专项科研基金;
关键词
space vehicles; distributed control; attitude control; variable structure systems; Chebyshev approximation; neurocontrollers; time-varying systems; control system synthesis; adaptive control; stability; finite-time distributed cooperative attitude control; actuator saturation; Chebyshev neural network; CNN; multiple spacecraft formation flying system; multiple SFF system; external disturbance; modified fast terminal sliding mode manifold; convergence rate; distributed cooperative attitude tracking controller design; time varying reference attitude; modified adaptive law; finite-time stability; numerical simulation; robustness; TERMINAL SLIDING-MODE; CHEBYSHEV NEURAL-NETWORKS; MULTIAGENT SYSTEMS; FLYING SPACECRAFT; CONTROL DESIGN; SYNCHRONIZATION; MANIPULATORS; COORDINATION;
D O I
10.1049/iet-cta.2014.0147
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this study, the distributed cooperative attitude tracking controller based on fast terminal sliding mode and Chebyshev neural network (CNN) is proposed for multiple spacecraft formation flying (SFF) system in the presence of external disturbance. Firstly, a new modified fast terminal sliding mode manifold, which has faster convergence rate than the existing terminal sliding modes, is proposed. Then, based on the proposed terminal sliding mode manifold, the distributed cooperative attitude tracking controller is designed for the SFF system, where the time varying reference attitude can be only accessed to a subset of the group member. To guarantee that the output of CNN used in the controller is bounded by the corresponding bound of the approximated unknown function, a modified adaptive law is proposed to revise the sliding mode manifold, meanwhile, the finite-time stability of SFF system can be also guaranteed. Finally, numerical simulations are presented to verify the validity and robustness of the proposed control algorithm.
引用
收藏
页码:2186 / 2198
页数:13
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