首页|Parameter correction and ground testing of large-scale space structure

Parameter correction and ground testing of large-scale space structure

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This paper investigates the modeling and testing of large-scale space structure on the ground, simulating the zero-gravity environment of space. Large-scale space structure is widely utilized for their advantages such as light weight, excellent extensibility, and high stability. Applications include deployable truss antenna structures on satellite platforms, space station frameworks, and extendable arms on space structures. A large-scale space structure was established at actual scale on the ground for accurate simulation and experimental validation. Initially, a ground-based motion simulation test system for the large-scale space structure was developed, and sweep frequency tests were conducted. The collected experimental data were then analyzed using the covariance-driven stochastic subspace system identification method to obtain the modal information of the large-scale space structure. Subsequently, both the full-scale and equivalent models of the large-scale space structure were established. To more accurately obtain the equivalent modeling parameters, a hybrid particle swarm optimization algorithm was employed, using the experimental modal data as the target to correct the initial material and geometric parameters of the model. Finally, a hexapod was used to simulate the satellite attitude maneuvers, driving the large-scale space structure, and the collected experimental data were compared with the simulation results to verify the effectiveness of the equivalent model.

Large-scale space structureGround-based test systemStochastic subspace system identification methodHybrid particle swarm optimization algorithmEquivalent modelParameter correction

Ce Zhao、Naihan Yang、Dongfang Zhu、Wenyu Feng、Mingying Huo、Naiming Qi

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Harbin Institute of Technology, Harbin, 150001, China

Shanghai Academy of Space/tight Technology, Shanghai 201109, China

2025

Aerospace science and technology

Aerospace science and technology

SCI
ISSN:1270-9638
年,卷(期):2025.163(Aug.)
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