Method and device for regulating thrust noise of a micro-cow thrust propeller

By establishing nozzle valve opening and flow-pressure models, combined with piezoelectric element control, dynamic coupling simulation and Fourier transform, the noise suppression of the micro-Newton level propulsion thruster was optimized, solving the problem of insufficient thrust noise prediction accuracy and improving the control accuracy in deep space missions.

CN121382468BActive Publication Date: 2026-07-24BEIJING INST OF CONTROL ENG
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING INST OF CONTROL ENG
Filing Date
2025-10-14
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

In the existing technology, the thrust noise prediction accuracy of micro-Newton level propulsion thrusters is insufficient, and there is a lack of systematic suppression methods, resulting in insufficient accuracy of trajectory and attitude control.

Method used

A thrust output model and a valve opening control model are established. Through dynamic coupling simulation and fast Fourier transform, the model parameters are optimized to suppress noise, including the nozzle valve opening being controlled by the deformation of the piezoelectric element, taking into account temperature creep, drive circuit noise and measurement noise.

Benefits of technology

Significantly reduces thrust noise amplitude and improves the orbit and attitude control accuracy of the cold gas microNewton propulsion system in deep space missions.

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Abstract

The application discloses a micro-cow-level propulsive thruster thrust noise regulation method and device, and belongs to the field of space propulsion technology. The method comprises the following steps: S1, establishing a propulsive thruster thrust output model according to the valve opening degree and flow pressure of a nozzle; S2, establishing a valve opening degree control model containing temperature creep, driving circuit noise and measurement noise according to the operation data of a piezoelectric element; S3, dynamically coupling simulation is performed on the thrust output model and the valve opening degree control model to obtain a thrust time sequence signal changing with time; S4, fast Fourier transform is performed on the thrust time sequence signal to obtain a power spectral density distribution used for representing main noise frequency bands; and S5, judging whether the power spectral density distribution meets preset requirements, if not, adjusting model parameters according to the power spectral density distribution, and repeating steps S3-S5 until the power spectral density distribution meets the preset requirements. The application can realize systematic suppression of the propulsive thruster noise.
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