Ground simulation of space quasi-zero gravity environment is essential in modal testing of space structures. The air flotation method is widely used, in which the air cushion unit is attached to the measured structure. This inevitably increases the total mass of the structure to be tested and leads to the incorrect prediction of modal parameters. And irregular airflow disturbances of the air cushion unit also have negative effects on the test. The fast elimination method is presented to remove the adverse impact in the test data based on measured frequency response functions. Numerical simulations are performed employing the magnetometer structure. Results show that this method effectively removes the adverse mass and the airflow effect.
SchwartzJLPeckMAHallCD. Historical review of air-bearing spacecraft simulators. J Guid Control Dyn2003; 26(4): 513–522.
2.
GreschikGBelvinWK. High-fidelity gravity offloading system for free-free vibration testing. J Spacecr Rockets2007; 44(1): 132–142.
3.
WilsonWJonesLPeckM. A multimodule planar air bearing testbed for cubesat-scale spacecraft. ASME J Dyn Syst Meas Control2013; 135(4): 045001.
4.
ChristianS. Canadian space robotic activities. Acta Astronaut1997; 41(10): 239–246.
5.
SCHUBERT H. How J P. Space Construction: An Experimental Testbed to Develop Enabling Technologies//Proceedings of SPIE - the International Society for Optical Engineering. Pittsburgh, PA, United States: SPIE, 1997, pp. 179–188.
6.
RybusTSewerynK. Planar air-bearing microgravity simulators: review of applications, existing solutions and design parameters. Acta Astronaut2016; 120: 239–259.
7.
LaughlinMMurryJLeeL, et al.Compiling a Comprehensive EVA Training Dataset for NASA Astronauts, 2016.
8.
ChenCIChenYTWuSC, et al.Experiment and simulation in design of the board-level drop testing tower apparatus. Exp Tech2012; 36(2): 60–69.
9.
KufnerEBlumJCallensN, et al.ESA’s drop tower utilisation activities 2000 to 2011. Microgravity Sci Technol2011; 23(4): 409–425.
10.
MeguroAShintateKUsuiM, et al.In-orbit deployment characteristics of large deployable antenna reflector onboard Engineering Test Satellite VIII. Acta Astronaut2009; 65(9–10): 1306–1316.
11.
SantiagoJBaierH. Advances in deployable structures and surfaces for large apertures in space. Ceas Space J2013; 5(3–4): 89–115.
12.
NicolauEPoventud-EstradaCMArroyoL, et al.Microgravity effects on the electrochemical oxidation of ammonia: a parabolic flight experiment. Electrochim Acta2012; 75: 88–93.
13.
BlockJBägerABehrensJ, et al.A self-deploying and self-stabilizing helical antenna for small satellites. Acta Astronaut2013; 86: 88–94.
14.
GaoHNiuFLiuZ, et al.Suspended micro-low gravity environment simulation technology: status quo and prospect. Acta Aeronaut et Astronaut Sin2021; 42(1): 523911(In Chinese).
15.
McEachenME. Validation of slender lattice trusses by modeling and testing. J Spacecr Rockets2012; 49(6): 970–977.
16.
ÖzgüvenHN. Structural modifications using frequency response functions. Mech Syst Signal Process1990; 4(1): 53–63.
17.
BiSRenJWangW, et al.Elimination of transducer mass loading effects in shaker modal testing. Mech Syst Signal Process2013; 38(2): 265–275.
18.
ZamaniPTaleshi AnbouhiAAshoryMR, et al.Cancelation of transducer effects from frequency response functions: experimental case study on the steel plate. Adv Mech Eng2016; 8(4): 1–12.
19.
ZhuRFeiQJiangD, et al.Using Sherman–Morrison theory to remove the coupled effects of multi-transducers in vibration test. Proc Inst Mech Eng G J Aerosp Eng2019; 233(4): 1364–1376.
20.
ZhuRFeiQ-GJiangD, et al.Dynamic sensitivity analysis based on Sherman–Morrison–Woodbury formula. AIAA J2019; 57(11): 4992–5001.
21.
ZhuRFeiQJiangD, et al.Removing mass loading effects of multi-transducers using Sherman–Morrison–Woodbury formula in modal test. Aerosp Sci Technol2019; 93: 105241.
22.
SchlottererMTheilS. Testbed for on-orbit servicing and formation flying dynamics emulation. In: AIAA guidance, navigation, and control conference, Toronto, Canada, 2–5 August 2010.
23.
ZhuRFeiQJiangD, et al.Identification of nonlinear stiffness and damping parameters using a hybrid approach. AIAA J2021; 5: 1–10.
24.
ZhuRFeiQJiangD, et al.Bayesian model selection in nonlinear subspace identification. AIAA J2021; 8: 1–10.
25.
JiaYYangZSongQ. Experimental study of random dynamic loads identification based on weighted regularization method. J Sound Vibr2015; 342: 113–123.
