Satellite noise prediction method and device

Abstract

The invention discloses a satellite noise prediction method and device. The method comprises the following steps: building a satellite statistical energy analysis SEA model according to a preset FE model and preset noise information, and dividing the full frequency band of a satellite into a low frequency band and a high frequency band according to a preset initial frequency value; determining modal numbers corresponding to preset components in the high frequency band and the low frequency band according to the SEA model; judging whether the modal numbers of the preset components are all greater than a preset threshold value or not at the high frequency band; if so, adopting the SEA model to calculate the noise response of the high frequency band, combing the SEA model and an FE model to calculate the noise response of the low frequency band, and performing noise prediction according to the noise response of the high frequency band and the noise response of the low frequency band; andif not, adjusting the initial frequency value, and dividing the full frequency band of the satellite again according to the adjusted frequency value until the modal numbers of the preset components are all greater than the preset threshold. The technical problem that in the prior art, the efficiency of satellite noise prediction is low is solved.

Description

technical field [0001] The present application relates to the technical field of noise prediction, in particular to a method and device for satellite noise prediction. Background technique [0002] The spacecraft is subjected to a variety of complex loads in the active launch section, including high-level vibration environments and high-sound-pressure-level noise environments. The noise environment has a wide frequency band, including from low frequency 10Hz to high frequency 10000Hz, which will affect structures with high structural coefficients. A total root mean square response of several 10g may cause failure and destruction of equipment. Therefore, carrying out noise response prediction work in the initial stage of satellite development can guide the satellite structure and layout design, guide the formulation of random vibration test conditions for on-board components, and find problems as early as possible to reduce losses. [0003] Compared with a single satellite c...

AI Technical Summary

Problems solved by technology

[0004] The technical problem solved by this application is to provide a satellite noise prediction method and device for the low efficiency of satellite noise prediction in the prior art. The SEA model is used to calculate the noise response, and the combination of the SEA model and the FE model is used to calculate the noise response in the low frequency band, that is, different models are used to calculate the noise response in different frequency bands. Since the SEA model does not depend on the grid during the calculation process, There is no need to calculate and analyze the frequency band mode, thereby reducing the calculation workload and improving the efficiency of satellite noise prediction; at the same time, it also reduces the requirements for equipment performance

Images