用于具有渐近误差的航天器姿态跟踪的预定义时间模糊自适应控制

IF 11.9 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE IEEE Transactions on Fuzzy Systems Pub Date : 2024-11-19 DOI:10.1109/TFUZZ.2024.3502360
Hao Xu;Dianbiao Dong;Dengxiu Yu;Yan-Jun Liu
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引用次数: 0

摘要

本文首次研究了具有渐近跟踪误差的航天器预定时间相对位置跟踪和姿态同步控制问题。与以往的研究相比,本文同时考虑了收敛速度和控制精度,保证了航天器相对跟踪误差的时间稳定性和渐近收敛性。引入模糊逻辑系统对相对动态模型中的未知非线性项进行估计。将自适应反演控制方法与命令滤波技术相结合,提出了一种相对位置跟踪与姿态同步控制方法。为了消除滤波误差对控制性能的影响,设计了改进的滤波补偿信号。利用所提出的控制方法,航天器位置姿态闭环控制系统能够达到预定时间稳定性,且航天器相对跟踪误差在时间趋近于无穷大时达到零。最后给出了仿真结果,充分证明了所提方法的有效性。
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Predefined-Time Fuzzy Adaptive Control for Spacecraft Pose Tracking With Asymptotic Error
This article investigates for the first time the predefined-time relative position tracking and attitude synchronization control problem with asymptotic tracking errors for spacecraft. Compared to previous studies, this article considers convergence speed and control accuracy simultaneously, ensuring the predefined-time stability and asymptotic convergence of the spacecraft relative tracking errors. The fuzzy logic systems are introduced to estimate the unknown nonlinear terms in the relative dynamic model. By combining the adaptive backstepping control method and the command filter technique, a relative position tracking and attitude synchronization control method is proposed. The improved filter compensation signals are designed to eliminate the impact of filtering errors on the control performance. With the proposed control method, the closed-loop spacecraft position and attitude control system can achieve predefined-time stability, and the spacecraft relative tracking errors can reach zero as time approaches infinity. Finally, simulation results are provided, fully demonstrating the effectiveness of the proposed method.
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来源期刊
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems 工程技术-工程:电子与电气
CiteScore
20.50
自引率
13.40%
发文量
517
审稿时长
3.0 months
期刊介绍: The IEEE Transactions on Fuzzy Systems is a scholarly journal that focuses on the theory, design, and application of fuzzy systems. It aims to publish high-quality technical papers that contribute significant technical knowledge and exploratory developments in the field of fuzzy systems. The journal particularly emphasizes engineering systems and scientific applications. In addition to research articles, the Transactions also includes a letters section featuring current information, comments, and rebuttals related to published papers.
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