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空间惯性传感器涡电流耗散磁加速噪声的建模与仿真

Modeling and Simulation of Eddy Current Dissipation Magnetic Acceleration Noise of Space Inertial Sensors.

作者信息

Li Pengxuan, Sun Zhiyin, Gao Wei, Cao Bingzhang, Li Yunzhao, Li Liyi, Wang Lei

机构信息

School of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin 150001, China.

School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China.

出版信息

Sensors (Basel). 2024 Dec 3;24(23):7723. doi: 10.3390/s24237723.

Abstract

The magnetic acceleration noise (MAN) that stems from the eddy current dissipation of a test mass (TM) serves as an important source of noise for space inertial sensors. Given the problem that the eddy current dissipation magnetic acceleration noise (ECDMAN) of a cubic TM defies analytical solutions, an analytical model of ECDMAN for a spherical TM, which has the same volume as the cubic TM, is systematically derived on the basis of the principles of electromagnetism and the fluctuation-dissipation theorem, and this model can be used as an approximate analytical model for the evaluation of this noise term. Based on the approximate analytical model, with the TM of the LISA Pathfinder (LPF) as the research object, this paper obtains a modification coefficient using the approach of combining the analytical method with the finite element method (FEM), and establishes a semi-analytical model of ECDMAN for the cubic TM. Using the parameters of the LPF's TM, the calculation error of the semi-analytical model is reduced by about 4.64% compared with the approximate analytical model. Finally, a generalized modeling approach for the semi-analytical model of ECDMAN is put forward, which is applicable to TMs with different parameters and can realize the real-time and rapid evaluation of ECDMAN during in-orbit experiments.

摘要

源于测试质量块(TM)涡电流耗散的磁加速噪声(MAN)是空间惯性传感器的一个重要噪声源。鉴于立方体形TM的涡电流耗散磁加速噪声(ECDMAN)难以获得解析解这一问题,基于电磁学原理和涨落耗散定理,系统推导了与立方体形TM体积相同的球形TM的ECDMAN解析模型,该模型可作为评估此噪声项的近似解析模型。基于该近似解析模型,以激光干涉空间天线(LISA)探路者号(LPF)的TM为研究对象,采用解析方法与有限元方法(FEM)相结合的方式得到修正系数,建立了立方体形TM的ECDMAN半解析模型。利用LPF的TM参数,半解析模型的计算误差与近似解析模型相比降低了约4.64%。最后,提出了一种ECDMAN半解析模型的通用建模方法,该方法适用于不同参数的TM,可在在轨实验中实现ECDMAN的实时快速评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1779/11644877/b4440c33c19c/sensors-24-07723-g001.jpg

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