具有扰动和量化输入的三维柔性航天器指数姿态跟踪与振动控制

IF 6.4 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Le Li;Zhongkui Li
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引用次数: 0

摘要

在通信能力有限的恶劣空间环境下,三维柔性航天器在外部干扰和输入量化的影响下,姿态跟踪和振动抑制是影响控制性能的两个关键因素。利用汉密尔顿原理,通过耦合的常微分方程和偏微分方程对航天器进行建模,以准确表征其无限维动力学特性。构造了非线性观测器来精确估计未知的边界扰动。为了解决量化带来的困难,引入了线性时变模型来描述滞后量化,并建立了包含指数函数的自适应律来估计产生的未知项。此外,提出了一种新的基于扰动观测器的自适应量化控制方案,该方案保证了所有闭环信号的有界性,保证了姿态跟踪误差和振动均指数收敛于零,而现有方法由于量化效应或扰动的影响通常只能收敛到小残差集。特别是,该方案允许在运行过程中自由调整量化器参数,以平衡通信负担和跟踪性能。仿真结果表明,与传统PD控制相比,该方法在姿态跟踪和消振方面收敛速度更快,在未知干扰和量化器参数变化情况下具有更高的控制精度。本研究提出了一种新的基于扰动观测器的量化控制方法,用于解决存在外部扰动和输入信号量化的三维柔性航天器的姿态跟踪和振动控制问题。所设计的干扰观测器可以精确地补偿大量的干扰,而自适应控制方案允许实时调整量化器参数,提供操作灵活性。通过结合指数函数,控制器实现了精确的指数跟踪性能,并确保不希望的振动被指数抑制到零。在实际应用中,该方案适用于具有柔性太阳能板的三维航天器和其他可视为三维空间中旋转欧拉-伯努利梁的柔性系统。未来的工作将集中在解决振动控制问题,同时跟踪时变的期望姿态信号,并考虑通信时延。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exponential Attitude Tracking and Vibration Control for 3-D Flexible Spacecraft With Disturbances and Quantized Inputs
This study addresses the problem of attitude tracking and vibration suppression for 3D flexible spacecraft subject to external disturbances and input quantization, which are two critical factors that can significantly degrade control performance in harsh space environments with limited communication capacity. Using Hamilton’s principle, the spacecraft is modeled by coupled ordinary and partial differential equations to accurately characterize its infinite-dimensional dynamics. Nonlinear observers are constructed to exactly estimate unknown boundary disturbances. To deal with the difficulty caused by quantization, a linear time-varying model is introduced to describe hysteretic quantizers, and adaptive laws incorporating exponential functions are developed to estimate resulting unknown terms. Furthermore, a novel disturbance observer-based adaptive quantized control scheme is proposed, which guarantees the boundedness of all closed-loop signals and ensures that both attitude tracking errors and vibrations converge exponentially to zero, whereas existing methods typically achieve only convergence to small residual sets due to quantization effects or disturbances. In particular, the proposed scheme allows the quantizer parameters to be freely adjusted during operation for balancing communication burden and tracking performance. Simulation results show that, compared to traditional PD control, the proposed scheme exhibits faster convergence in attitude tracking and vibration elimination, and achieves higher control accuracy under unknown disturbances and changeable quantizer parameters. Note to Practitioners—This study presents a novel disturbance observer-based quantized control approach to address attitude tracking and vibration control for 3D flexible spacecraft in the presence of external disturbances and input signal quantization. The designed disturbance observers accurately compensate for a large class of disturbances, while the adaptive control scheme allows real-time adjustment of quantizer parameters, offering operational flexibility. By incorporating exponential functions, the controller achieves precise exponential tracking performance and ensures that undesired vibrations are exponentially suppressed to zero. For practical implementation, the proposed scheme is suitable for 3D spacecraft with flexible solar panels and other flexible systems which can be regarded as a rotating Euler-Bernoulli beam in 3D space. Future work will focus on addressing the vibration control problem while tracking time-varying desired attitude signals, with consideration of communication time delays.
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来源期刊
IEEE Transactions on Automation Science and Engineering
IEEE Transactions on Automation Science and Engineering 工程技术-自动化与控制系统
CiteScore
12.50
自引率
14.30%
发文量
404
审稿时长
3.0 months
期刊介绍: The IEEE Transactions on Automation Science and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. T-ASE welcomes results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, security, service, supply chains, and transportation. T-ASE addresses a research community willing to integrate knowledge across disciplines and industries. For this purpose, each paper includes a Note to Practitioners that summarizes how its results can be applied or how they might be extended to apply in practice.
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