基于全驱动系统的柔性航天器自抗扰饱和姿态控制

IF 3.7 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Dian Wang , Yunhua Wu , Chengfei Yue , Songjing Ma
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引用次数: 0

摘要

柔性航天器具有无限自由度的特点,其复杂的耦合效应和显著的非线性给姿态控制带来了挑战。研究了考虑外部干扰、惯性不确定性和控制输入饱和的欠驱动柔性航天器姿态控制问题。为了实现鲁棒姿态稳定,提出了一种基于全驱动系统理论的自抗扰饱和控制策略。该方法包括建立柔性航天器的全驱动姿态模型,并实现扩展扰动观测器来估计不确定非线性,如弹性振动、系统不确定性和外部扰动。这些估计被送入非线性前馈补偿控制。采用直接参数化方法设计的反馈控制器,保证了系统的定向精度。此外,包含一个动态增益滤波器有效地控制输入饱和和显著提高柔性振动抑制。仿真结果验证了所提策略的有效性,展示了该策略在实际欠驱动柔性航天器姿态控制中的应用潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fully actuated system-based active disturbance rejection saturated attitude control for flexible spacecraft
Flexible spacecraft, characterized by infinite degrees of freedom, pose challenges in attitude control due to complex coupling effects and significant nonlinearities. This paper addresses the attitude control problem for underactuated flexible spacecraft, considering external disturbances, inertia uncertainties, and control input saturation. A novel active disturbance rejection saturated control strategy, which is based on fully actuated system (FAS) theory, is developed to achieve robust attitude stabilization. The approach involves the construction of a fully actuated attitude model for the flexible spacecraft and implementing an extended disturbance observer to estimate uncertain nonlinearities, such as elastic vibrations, system uncertainties, and external disturbances. These estimates are fed into a nonlinear feedforward compensation control. The feedback controller, designed with the direct parametric method, ensures the desired orientation with high precision. Additionally, the inclusion of a dynamic gain filter effectively controls input saturation and significantly enhances flexible vibration suppression. The simulation results validate the effectiveness of the proposed strategy, demonstrating its potential for use in underactuated flexible spacecraft attitude control in practical scenarios.
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来源期刊
CiteScore
7.30
自引率
14.60%
发文量
586
审稿时长
6.9 months
期刊介绍: The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.
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