基于Lyapunov理论的卫星大挠性太阳能帆板分布式自适应振动抑制控制方法

张刘, 曾庆铭, 赵寰宇, 范国伟

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吉林大学学报(工学版) ›› 2023, Vol. 53 ›› Issue (09) : 2676-2685. DOI: 10.13229/j.cnki.jdxbgxb.20211295
通信与控制工程

基于Lyapunov理论的卫星大挠性太阳能帆板分布式自适应振动抑制控制方法

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Distributed adaptive vibration suppression control method of large solar panels for satellites based on Lyapunov theory

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摘要

提出了一种分布式自适应振动抑制控制方法,有效抑制了卫星大挠性帆板在轨振动问题。考虑作动器和传感器的安装位置对控制效果的影响,通过分析邻接子模块之间振动和输出力的耦合影响,基于Lyapunov理论设计了完整的分布式自适应控制器。仿真结果表明,在外界持续干扰等情况下,本文设计的分布式控制系统与基于线性二次型调节器(LQR)的分布式控制方法相比抑振时间缩短了40%,与集中式控制方法相比抑振时间缩短了50%,得到了更良好的在轨抑振效果,对于卫星的稳定运行具有重要意义。

Abstract

A distributed adaptive vibration suppression control method was investigated to effectively suppress the on-orbit vibration of large flexible satellite panels. Considering the influence of actuator and sensor installation position on the control effect, a complete distributed adaptive controller was designed based on Lyapunov theory by analyzing the coupling effect of vibration and output force between adjacent sub-modules. The simulation results show that the vibration suppression time of the proposed distributed control method is reduced by 40% compared with the distributed control method based on LQR control method and 50% compared with the centralized control method under the condition of continuous external interference. Furthermore, the proposed control method has an improved on-orbit vibration suppression effect and is of great significance for the stable operation of the satellite.

关键词

分布式控制 / 自适应控制 / 大挠性航天器 / 李雅普诺夫理论 / 振动抑制

Key words

distributed control / adaptive control / large flexible spacecraft / Lyapunov theory / vibration suppression

中图分类号

V448.22

引用本文

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张刘 , 曾庆铭 , 赵寰宇 , . 基于Lyapunov理论的卫星大挠性太阳能帆板分布式自适应振动抑制控制方法. 吉林大学学报(工学版). 2023, 53(09): 2676-2685 https://doi.org/10.13229/j.cnki.jdxbgxb.20211295
ZHANG Liu, ZENG Qing-ming, ZHAO Huan-yu, et al. Distributed adaptive vibration suppression control method of large solar panels for satellites based on Lyapunov theory[J]. Journal of Jilin University(Engineering and Technology Edition). 2023, 53(09): 2676-2685 https://doi.org/10.13229/j.cnki.jdxbgxb.20211295

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基金

国家自然科学基金项目(62073150)
国家自然科学基金项目(62073151)
国家自然科学基金项目(62001185)
吉林省科技厅项目(20210101177JC)

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