A hierarchical path identification method (HPIM) is proposed to locate the optimal vibration isolation location in satellites. Compared with the existing methods with high computation costs, the locating efficiency of the entire satellite can be improved without sacrificing accuracy through the HPIM method. In this method, the parameter identification method is introduced to narrow the area of vibration isolation from the whole satellite to the dominant transmission path, as the primary location step. After that, in the accurate location step, the specific isolation location in the dominant path is identified based on the vibration transmission characteristics of the dominant path. The efficacy of the HPIM method is demonstrated by experiments using a satellite with momentum wheels as the vibration source. In addition, the comparison between the HPIM method and the traditional method indicates that the calculation time of the HPIM method is reduced to one-third of that of the traditional method.
AgliettiGLangleyRRogersE, et al. (2004) Model building and verification for active control of microvibrations with probabilistic assessment of the effects of uncertainties. Proceedings of the Institution of Mechanical Engineers - Part C: Journal of Mechanical Engineering Science218(4): 389–399.
2.
AhnBLeeS (2022) Integrated acoustic analysis of payload fairing using an FE-SEA hybrid method. International Journal of Aeronautical and Space Sciences224(1): 1–8.
3.
BouthierOBernhardR (1995) Simple models of the energetics of transversely vibrating plates. Journal of Sound and Vibration182(1): 149–164.
4.
ChenSXuanMXinJ, et al. (2020) Design and experiment of dual micro-vibration isolation system for optical satellite flywheel. International Journal of Mechanical Sciences179: 105592.
5.
ChenQMaHYuJ, et al. (2024) A modified interval perturbation statistical energy analysis method for structural reliability analysis of vibro-acoustic systems with interval uncertain parameters. Structures60: 105902.
6.
ClempnerJPoznyakA (2019) Observer and control design in partially observable finite Markov chains. Automatica110: 108587.
7.
EgabLWangX (2021) On the analysis of coupling strength of a stiffened plate-cavity coupling system using a deterministic-statistical energy analysis method. Mechanical Systems and Signal Processing164: 108234.
8.
JiaoXZhangJLiW, et al. (2023) Advances in spacecraft micro-vibration suppression methods. Progress in Aerospace Sciences138: 100898.
9.
JuangJPhanM (2001) Identification and Control of Mechanical Systems. New York: Cambridge University Press.
10.
KongXLiHZhouX, et al. (2023) Flywheel vibration isolation of satellite structure by applying structural plates with elastic boundary instead of restrained boundary. Applied Sciences13(23): 1–21.
11.
LiZMaTWangY, et al. (2020) Vibration isolation by novel meta-design of pyramid-core lattice sandwich structures. Journal of Sound and Vibration480: 115377.
12.
LiHLiZXiaoZ, et al. (2021) Development of an integrated model for prediction of impact and vibration response of hybrid fiber metal laminates with a viscoelastic layer. International Journal of Mechanical Sciences197: 106298.
13.
LiuCJingXDaleyS, et al. (2015) Recent advances in micro-vibration isolation. Mechanical Systems and Signal Processing56: 55–80.
14.
LiuZNiuJGaoX (2018) An improved approach for analysis of coupled structures in Energy Finite Element Analysis using the coupling loss factor. Computers & Structures210: 69–86.
15.
MaYZhaoQZhangK, et al. (2020) Effects of mount locations on vibrational energy flow transmission characteristics in aero-engine casing structures. Journal of Low Frequency Noise, Vibration and Active Control39(2): 313–326.
16.
MaHTanZChenQ, et al. (2024) Output-only identification of time-varying structural modal parameters under thermal environment. Structures63: 106338.
17.
NavaziHNokhbatolfoghahaeiAGhobadY, et al. (2016) Experimental measurement of energy density in a vibrating plate and comparison with energy finite element analysis. Journal of Sound and Vibration375: 289–307.
18.
PaviG (1976) Measurement of structure borne wave intensity, Part I: formulation of the methods. Journal of Sound and Vibration49(2): 221–230.
19.
QiGMaLRossiniM (2022) Vibration of a satellite structure with composite lattice truss core sandwich panels. AIAA Journal60(6): 3389–3401.
20.
RenedoCDiazIGarcia-PalaciosJ (2023) Modelling of thin constrained layer damping treatment applied to composite floor beams. Structures56: 105032.
21.
ShenYXuYShengX, et al. (2022) Kalman filter identification method for micro-vibration transfer paths of satellites. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering236(11): 2194–2205.
22.
ShenYXuYShengX, et al. (2023) Microvibration transfer and suppression of satellite under multi-source coupling disturbances based on energy flow analysis. Advances in Space Research71(8): 3222–3233.
23.
ShenYXuYXieX, et al. (2024) A new method for the prediction of vibration responses of thin plates coupled with discontinuous connections. Mechanical Systems and Signal Processing223: 111859.
24.
ShiBYangJWiercigrochM (2023) Vibrational energy transfer in coupled mechanical systems with nonlinear joints. International Journal of Mechanical Sciences260: 108612.
25.
SunZJinGLiS, et al. (2024) Mid-frequency vibration analysis of built-up structures using WFE-SEA method. International Journal of Mechanical Sciences266: 108960.
26.
ValasekJWeiC (2003) Observer/Kalman filter identification for online system identification of aircraft. Journal of Guidance, Control, and Dynamics26(2): 347–353.
27.
VedantVAllisonJ (2020) Multifunctional structures for spacecraft attitude control. In: Proceedings of the ASME Conference on Smart Materials Adaptive Structures and Intelligent Systems.
28.
WangGZhouDZhaoY (2015) Data analysis of micro-vibration on-orbit measurement for remote sensing satellite. Journal of Astronautics36(3): 261–267.
29.
XieMLiLShangX, et al. (2018) Initial investigation of energy finite element validation on high-frequency flexural vibration of stiffened thin orthotropic plates. Shock and Vibration2018: 1461086.
30.
ZhengXDaiWQiuY, et al. (2019) Prediction and energy contribution analysis of interior noise in a high-speed train based on modified energy finite element analysis. Mechanical Systems and Signal Processing126: 439–457.
31.
ZhouHCaoXLiC, et al. (2021) Design of self-supporting lattices for additive manufacturing. Journal of the Mechanics and Physics of Solids148: 104298.
32.
ZhuYXuCXiaoD (2019) Denoising ultrasonic echo signals with generalized S transform and singular value decomposition. Traitement du Signal36(2): 139–145.
33.
ZhuCYangJRuddC (2021) Vibration transmission and power flow of laminated composite plates with inerter-based suppression configurations. International Journal of Mechanical Sciences190: 106012.
34.
ZhuCLiGRuanS, et al. (2023) Structural intensity of laminated composite plates subjected to distributed force excitation. Journal of Vibration Engineering & Technologies11(6): 2779–2791.
