基于SGHT的航天器微振动信号处理方法
TH113.1; 针对现有常用航天器微振动信号处理方法的不足,以辛几何模态分解方法(Symplectic geometry mode decomposition,简称SGMD)为基础,结合希尔伯特谱分析(Hilbert spectrum analysis,简称HSA),提出辛几何-希尔伯特转换(Symplectic geometry Hilbert transform,简称SGHT)方法.首先,根据输入信号,采用辛矩阵相似变换求解Hamilton矩阵的特征值,利用其对应特征向量重构单分量信号;其次,通过计算归一化互信息,将相似的分量合并为辛几何分量(Symplectic geometry co...
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| Published in | 振动、测试与诊断 Vol. 43; no. 6; pp. 1073 - 1080 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | Chinese |
| Published |
中国科学院天文光学技术重点实验室(南京天文光学技术研究所) 南京,210042
01.12.2023
中国科学院大学 北京,100049%中国科学院国家天文台南京天文光学技术研究所 南京,210042 中国科学院国家天文台南京天文光学技术研究所 南京,210042 中国科学院大学天文与空间科学学院 北京,100049 |
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| Online Access | Get full text |
| ISSN | 1004-6801 |
| DOI | 10.16450/j.cnki.issn.1004-6801.2023.06.004 |
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| Abstract | TH113.1; 针对现有常用航天器微振动信号处理方法的不足,以辛几何模态分解方法(Symplectic geometry mode decomposition,简称SGMD)为基础,结合希尔伯特谱分析(Hilbert spectrum analysis,简称HSA),提出辛几何-希尔伯特转换(Symplectic geometry Hilbert transform,简称SGHT)方法.首先,根据输入信号,采用辛矩阵相似变换求解Hamilton矩阵的特征值,利用其对应特征向量重构单分量信号;其次,通过计算归一化互信息,将相似的分量合并为辛几何分量(Symplectic geometry component,简称SGC),用输入信号与计算得到的SGC分量相减,得到新的输入信号进行下一轮迭代,直至满足终止条件;最后,进行希尔伯特转换,并输出结果.通过微振动信号模型的仿真验证,与目前常用的微振动信号处理方法相比,在非平稳的复杂微振动信号下,SGHT方法表现出较好的分解性能和处理能力.使用该方法处理先进天基太阳天文台(advanced space-based solar observatory,简称ASO-S)卫星/全日面矢量磁像仪(full-disk vector magneto graph,简称FMG)载荷的地面微振动试验信号,可以识别出多个SGC分量,计算的角位移估计包络在0.015"以内,其结果对载荷研制具有实际工程意义. |
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| AbstractList | TH113.1; 针对现有常用航天器微振动信号处理方法的不足,以辛几何模态分解方法(Symplectic geometry mode decomposition,简称SGMD)为基础,结合希尔伯特谱分析(Hilbert spectrum analysis,简称HSA),提出辛几何-希尔伯特转换(Symplectic geometry Hilbert transform,简称SGHT)方法.首先,根据输入信号,采用辛矩阵相似变换求解Hamilton矩阵的特征值,利用其对应特征向量重构单分量信号;其次,通过计算归一化互信息,将相似的分量合并为辛几何分量(Symplectic geometry component,简称SGC),用输入信号与计算得到的SGC分量相减,得到新的输入信号进行下一轮迭代,直至满足终止条件;最后,进行希尔伯特转换,并输出结果.通过微振动信号模型的仿真验证,与目前常用的微振动信号处理方法相比,在非平稳的复杂微振动信号下,SGHT方法表现出较好的分解性能和处理能力.使用该方法处理先进天基太阳天文台(advanced space-based solar observatory,简称ASO-S)卫星/全日面矢量磁像仪(full-disk vector magneto graph,简称FMG)载荷的地面微振动试验信号,可以识别出多个SGC分量,计算的角位移估计包络在0.015"以内,其结果对载荷研制具有实际工程意义. |
| Abstract_FL | Symplectic geometry Hilbert transform(SGHT)is proposed to improve current methods for space-craft micro-vibration signal process.This proposed method is based on symplectic geometry mode decomposi-tion(SGMD)and Hilbert spectrum analysis(HSA).Firstly,the eigenvalues of Hamilton matrix are solved by symplectic geometry similarity transformation and the single component signal can be reconstructed by corre-sponding eigenvectors.Then,by calculating normalized mutual information,similar components are merged into Symplectic geometry component(SGC)and the input signal is subtracted from the calculated SGC compo-nent to obtain a new input signal for the next round of iteration until the termination condition is satisfied.Fi-nally,Hilbert transform is performed on each SGC to calculate the Hilbert marginal spectrum.The simulation results show that,the proposed SGHT method has better decomposition performance and processing ability un-der the non-stationary complex micro-vibration signal,compared with the common micro-vibration signal pro-cessing methods.Using SGHT method to process the advanced space-based solar observatory(ASO-S)/full-disk vector magneto graph(FMG)ground micro-vibration test signals,SGC components can be identified and the estimated angular displacement envelope is less than 0.015",showing practical engineering significance for satellite and payload development. |
| Author | 陈继喆 章海鹰 |
| AuthorAffiliation | 中国科学院国家天文台南京天文光学技术研究所 南京,210042;中国科学院天文光学技术重点实验室(南京天文光学技术研究所) 南京,210042;中国科学院大学 北京,100049%中国科学院国家天文台南京天文光学技术研究所 南京,210042;中国科学院天文光学技术重点实验室(南京天文光学技术研究所) 南京,210042;中国科学院大学天文与空间科学学院 北京,100049 |
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| Author_FL | CHEN Jizhe ZHANG Haiying |
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| ClassificationCodes | TH113.1 |
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| DocumentTitle_FL | Spacecraft Micro-vibration Signal Processing Method Based on Symplectic Geometry Hilbert Transform |
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| Issue | 6 |
| Keywords | spacecraft 微振动 辛几何 micro-vibration 希尔伯特 航天器 marginal spectrum 边际谱 Hilbert Symplectic geometry |
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| PublicationTitle | 振动、测试与诊断 |
| PublicationTitle_FL | Journal of Vibration，Measurement & Diagnosis |
| PublicationYear | 2023 |
| Publisher | 中国科学院天文光学技术重点实验室(南京天文光学技术研究所) 南京,210042 中国科学院大学 北京,100049%中国科学院国家天文台南京天文光学技术研究所 南京,210042 中国科学院国家天文台南京天文光学技术研究所 南京,210042 中国科学院大学天文与空间科学学院 北京,100049 |
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| Snippet | TH113.1; 针对现有常用航天器微振动信号处理方法的不足,以辛几何模态分解方法(Symplectic geometry mode decomposition,简称SGMD)为基础,结合希尔伯特谱分析(Hilbert spectrum analysis,简称HSA),提出辛几何-希尔伯特转换(Symplectic... |
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| Title | 基于SGHT的航天器微振动信号处理方法 |
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