Non-cooperative spacecraft proximity control considering target behavior uncertainty

Sun, Guanjie; Zhou, Mengqi; Jiang, Xiuqiang

doi:10.1007/s42064-022-0133-5

Cited by 16 publications

(1 citation statement)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The command filter backstepping control method was employed to address the limitations of other methods such as dynamic surface control and tracking-differentiator-based control. On the other hand, it is important to acknowledge that unmodeled dynamics are inherent in real-world systems owing to various factors such as modeling inaccuracies, external disturbances, and measurement noise [14][15][16][17][18]. These unmodeled dynamics can significantly degrade system performance and even cause instability.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Fuzzy Fixed-Time Control for Nonlinear Systems with Unmodeled Dynamics

Luo,

Zhang,

et al. 2024

Symmetry

View full text Add to dashboard Cite

This article concentrates on the problem of fixed-time tracking control for a certain class of nonlinear systems with unmodeled dynamics. Unmodeled dynamics are prevalent in practical engineering systems, such as axially symmetric systems like robotic arms, spacecraft, and missiles. In this paper, the fuzzy-logic systems (FLSs) are implemented to address the challenge of accurately approximating the unknown nonlinear terms that arise during the derived control algorithm process. By employing fixed-time command filters (FTCF), the “explosion of complexity” issues encountered in traditional backstepping methods will be effectively resolved. Moreover, error compensation mechanisms are derived to effectively mitigate the filtering errors that may arise from the FTCFs. The computational burden associated with FLSs is reduced through the utilization of the weight vector estimation method based on the maximal norm and an adaptive approach. A fixed-time adaptive fuzzy tracking controller is developed within the backstepping control framework to ensure the boundedness of all signals and achieve fixed-time convergence of the tracking error for the controlled system. Illustrative examples are conducted to illustrate the viability of the derived controller.

show abstract