| Citation: | NI Z Y，LI Z S，WU S N，et al. Time-varying frequency identification of space solar power station based on variable forgetting factor[J]. Journal of Beijing University of Aeronautics and Astronautics，2024，50（8）：2470-2481 （in Chinese） doi: 10.13700/j.bh.1001-5965.2022.0665
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By considering changes in the structural configuration caused by the rotation of the solar panel in the space solar power station (SSPS) during in-orbit operation, a variable forgetting factor generalized yet another subspace tracker (VFF-GYAST) method was proposed to identify the modal frequency parameters of the time-varying dynamic system in orbit. As a result, the tracking ability of the original GYAST method for the time-varying system was improved. First, the time-varying attitude-vibration coupling dynamic equation of the multirotary-joint SSPS (MJ-SSPS) was established based on modal synthesis technology and the substructure method. Based on the projection subspace theory, the time-varying forgetting factor in the recursive procedure was determined by computing the system’s mean square error, and thus the tracking performance of the original GYAST method was increased, and the time-varying pseudo modal frequency parameters of the system were identified. The computation results of numerical simulation show that the proposed method can effectively identify the time-varying frequency parameters of the large flexible system. Compared with the conventional recursive subspace method, the proposed method has higher noise-immunity ability. When the measured signal-to-noise-ratio is low, the average value of the relative error of the frequency identification results for the proposed method is still smaller than 5%. In addition, the tracking performance of the proposed method for the time-varying system is better than that of the original method with a fixed forgetting factor.
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