Control design of spacecraft autonomous rendezvous using nonlinear models with uncertainty

被引：2
|
作者：
Zhang K.-W. [1 ,2 ]
Pan B.-S. [1 ,2 ]
机构：
[1] College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou
[2] Key Laboratory of Special Purpose Equipment and Advanced Processing Technology, Ministry of Education, Zhejiang University of Technology, Hangzhou
来源：
Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science) | 2022年 / 56卷 / 04期
关键词：
Adaptive control; Neural network; Nonlinear model; Spacecraft rendezvous; Uncertainty;
D O I：
10.3785/j.issn.1008-973X.2022.04.024
中图分类号：
学科分类号：
摘要：
An adaptive control strategy based on the general nonlinear relative motion equation was proposed by considering the uncertainty of the spacecraft rendezvous model. A parameterization via adaptive neural networks was implemented for the linear and nonlinear uncertainties in the complex nonlinear system caused by the external disturbances and the orbital parameters of the target spacecraft. Both the backstepping technique and the Lyapunov method were utilized to achieve the control targets and guarantee the asymptotic stability of the resulting closed-loop system. An auxiliary control system was proposed to analyze the effect of input constraints in order to explore the adaptive control design of the spacecraft relative motion in the presence of both model uncertainty and input constraints. The adaptive control strategy proposed for relative motion ensured the stability of the closed-loop system, as well as the uniform ultimate boundedness of the adaptive estimation of the unknown parameters. The effectiveness of the proposed method was verified by the numerical results via the analysis and comparison of different cases. Copyright ©2022 Journal of Zhejiang University (Engineering Science). All rights reserved.
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页码：833 / 842
页数：9
相关论文
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