In this paper, on-orbit modal identification of membrane antenna spacecraft is investigated. Based on the modal identification results, dynamic model of the spacecraft is updated, and a vibration controller is designed. First of all, the rigid-flexible coupling dynamic model of the membrane antenna spacecraft is established by using Lagrange equation. Then, the covariance driven stochastic subspace identification (SSI-COV) method, which only relies on output measurements of the system under ambient excitation, is adopted to identify the modal parameters. By using the modal identification results, the model updating is performed based on sensitivity analysis, and vibration controller is designed to suppress the vibration caused by attitude maneuver based on the component synthesis vibration suppression (CSVS) method. Simulation results show that the SSI-COV method can identify the modal parameters of the membrane antenna spacecraft effectively, the updated dynamic model produces obvious improvements over the original model, and the vibration suppression effect of the CSVS controller is improved significantly after model updating.
LiuTWangXHQiuXM, et al.Theoretical study on the parameter sensitivity over the mechanical states of inflatable membrane antenna. Aerosp Sci Technol2020; 102: 105843.
2.
RaitGBeasleyD. Large area membrane apertures for space applications, fabrication and mechanical testing. In: Proceedings of 4th AIAA Spacecraft Structures Conference. TX: Grapevine, 2017.
3.
LiuCShiY. Comprehensive structural analysis and optimization of the electrostatic forming membrane reflector deployable antenna. Aerosp Sci Technol2016; 53: 267–279.
4.
XuRLiDXJiangJP, et al.Nonlinear vibration analysis of membrane SAR antenna structure adopting a vector form intrinsic finite element. J Mech2015; 31: 269–277.
5.
HarlandDMLorenzRD. Space systems failures: disasters and rescues of satellites, rockets and space probes. Chichester: Springer-Praxis, 2005.
6.
SalamaMJenkinsC. Intelligent gossamer structures-A review of recent developments and future trends. In: Proceedings of 19th AIAA Applied Aerodynamics Conference. Seattle, WA, 2001.
7.
RuggieroEJInmanDJ. Modeling and vibration control of an active membrane mirror. Smart Mater Struct2009; 18: 095027.
8.
LuYShaoQAmabiliM, et al.Nonlinear vibration control effects of membrane structures with in-plane PVDF actuators: a parametric study. Int J Non-linear Mech2020; 122: 103466.
9.
LiuXCaiGPPengFJ, et al.Dynamic model and active vibration control of a membrane antenna structure. J Vib Control2018; 24: 4282–4296.
10.
LiuXZhangHLvLL, et al.Vibration control of a membrane antenna structure using cable actuators. J Frankl Inst2018; 355: 2424–2435.
11.
RodriguezJColletMChesnéS. Experimental modal identification of smart composite structure applied to active vibration control. Smart Mater Struct2021; 30: 115008.
12.
XieYLiuPCaiGP. Frequency identification of flexible hub-beam system using control data. Int J Acoust Vib2016; 21: 257–265.
13.
XieYLiuPCaiGP. On-orbit frequency identification of spacecraft based on attitude maneuver data. Aircr Eng Aerosp Technol2018; 90: 33–42.
14.
XieYLiuPCaiGP. Modal parameter identification of flexible spacecraft using the SSI-COV method. Acta Mech Sin2016; 32: 710–719.
15.
AnthonyTAndersonG. On-orbit modal identification of the Hubble space telescope. In: Proceedings of the American Control Conference. Seattle, WA, USA, 1995.
16.
KasaiTKomatsuKSanoM. Modal parameter identification of controlled flexible space structures. In: Proceedings of SPIE. Glasgow, UK: International Society for Optical Engineering, 1994.
17.
KimHMVanHornDADoironH. Free-decay time-domain modal identification for large space structures. J Guid Control Dyn1994; 17: 513–519.
18.
XieYLiuPCaiGP. On-orbit identification of flexible parameter of spacecraft. Proc Inst Mech Eng Pt K-j Multi-body Dyn2016; 230: 191–206.
19.
NiZYWuCCWuSN, et al.Optimal attitude sensor placement and modal frequency identification of large space structure. In: Proceedings of the 40th Chinese Control Conference. Shanghai, China, 2021.
20.
NiZYMuRNXunGB, et al.Time-varying modal parameters identification of a spacecraft with rotating flexible appendage by recursive algorithm. Acta Astronaut2016; 118: 49–61.
21.
TangGNChenBFZhangMY, et al.On-orbit modal identification for vibration suppression of flexible aerospace structure using reaction wheel actuator. Aerosp Sci Technol2020; 107: 106250.
22.
FanLLiuXCaiGP. Dynamic modeling and modal parameters identification of satellite with large-scale membrane antenna. Adv Space Res2019; 63: 4046–4057.
23.
XieYLiuPCaiGP. Parameter identification and model updating for a space station. J Vib Eng Technol2017; 5: 301–311.
24.
FanLCYuanWCZhangQW. Sensitivity-based FE model updating of a suspension bridge. China Civil Eng J2000; 33: 9–13.
25.
LiuRHJiangHYuKP, et al.Missile structure model updating based on Nastran optimization. Mod Defence Technology2011; 39: 106–110.
26.
AdachiSYamaguchiIKidaT, et al.On-orbit system identification experiments on Engineering Test Satellite-VI. Control Eng Pract1999; 7: 831–841.
27.
KimHMKaoukM. Modal analysis and model correlation of the mir space station. In: Proceedings of the 18th IMAC Conference on Computational Challenges in Structural Dynamics. San Antonio, TX, 2000.
28.
KimHMKaoukM. Mir structural dynamics experiment: first test and model refinement. In: Proceedings of the 40th SDM conference. St. Louis, MO, 1999.
29.
SickingerCHerbeckLBreitbachE. Structural engineering on deployable CFRP booms for a solar propelled sailcraft. Acta Astronaut2006; 58: 85–196.
30.
SpencerDAJohnsonLLongAC. Solar sailing technology challenges. Aerosp Sci Technol2019; 93: 105276.
31.
ShenYZhengWWangX. Dynamic and vibration analysis of a SAR membrane antenna. In: Proceedings of ASME 2007 International Mechanical Engineering Congress and Exposition. WA, USA, 2007.
32.
BartPRoeckD. Reference-based stochastic subspace identification for output-only modal analysis. Mech Syst Sig Process1999; 13: 855–878.
33.
BartPRoeckD. Stochastic system identification for operational modal analysis: a review. J Dyn Syst Meas Control-trans ASME2001; 123: 659–667.
34.
EdwinRGuidoDR. Reference-based combined deterministic stochastic subspace identification for experimental and operational modal analysis. Mech Syst Sig Process2008; 22: 617–637.
35.
GoiYKimCW. Mode identifiability of a multi-span cable-stayed bridge utilizing stabilization diagram and singular values. Smart Struct Syst2016; 17: 391–411.
36.
PeterWMOlofF. Updating large finite element models in structural dynamics. AIAA J1998; 36: 1861–1868.
37.
ZhangLXuSJJuXZ, et al.Flexible satellite control via fixed-time prescribed performance control and fully adaptive component synthesis vibration suppression. Nonlinear Dyn2020; 100: 3413–3432.
38.
ShanJJLiuD. Study on component synthesis active vibration suppression method for flexible structures. Aerospace Shanghai2001; 6: 28–37.
39.
ZhangJYLiuTZhangZP. Study on component synthesis active vibration suppression method using zero-placement technique. Chin J Aeronaut2008; 21: 304–312.
