Nanonewton-Level Thrust Measurement Based on Stiffness Adjustment Through Total Variation Denoising Under Heavy Loads

Sub-micro-Newton thrusters on space satellites are widely used in spaceborne gravitational wave detection, making accurate measurement of micro-thrust-generated thrust essential. Moreover, micro-propulsion systems often exhibit substantial mass, posing challenges for thrust measurement. This research prompted the development of a sub-micro-thrust measurement device based on the inverted pendulum principle, which with-stands 8 kg loads and boasts a large thrust-to-weight ratio exceeding 10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">9</sup>. Experimental results demonstrate that adjusting the stiffness of the inverted pendulum can effectively enhance the resolution of the device. Piecewise constant signal (PCS) thrust force was introduced, and the nonlinear total variation denoising (TVD) algorithm method was adopted for signal denoising. It is validated that thrust measurement in the range of 0–261 μN is achieved with a minimum resolution of 24 nN. The device design and stiffness adjustment method proposed in this paper, as well as the data denoising method utilized, greatly enhance the thrust resolution measurement. This approach enables the development of an accurate micro-thrust model for spaceborne gravitational wave detection missions while simultaneously offering a novel solution for sub-micro-newton-level thrust measurement under heavy load conditions.

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Publication Details

Journal
IEEE Transactions on Instrumentation and Measurement
Published
2025-01-01
DOI
https://doi.org/10.1109/tim.2025.3573377
Primary Topic
Advanced Measurement and Detection Methods
Type
article
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article

Nanonewton-Level Thrust Measurement Based on Stiffness Adjustment Through Total Variation Denoising Under Heavy Loads

Jiabin Wang, Mingshan Wu, Ning Guo, Jianfei Long et al.
IEEE Transactions on Instrumentation and Measurement
Advanced Measurement and Detection Methods
article

Nanonewton-Level Thrust Measurement Based on Stiffness Adjustment Through Total Variation Denoising Under Heavy Loads

Jiabin Wang, Mingshan Wu, Ning Guo, Jianfei Long, Linxiao Cong, Luxiang Xu, Jiawen Xu, Yelong Zheng, Bin Wang
article en

Abstract

Sub-micro-Newton thrusters on space satellites are widely used in spaceborne gravitational wave detection, making accurate measurement of micro-thrust-generated thrust essential. Moreover, micro-propulsion systems often exhibit substantial mass, posing challenges for thrust measurement. This research prompted the development of a sub-micro-thrust measurement device based on the inverted pendulum principle, which with-stands 8 kg loads and boasts a large thrust-to-weight ratio exceeding 10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">9</sup>. Experimental results demonstrate that adjusting the stiffness of the inverted pendulum can effectively enhance the resolution of the device. Piecewise constant signal (PCS) thrust force was introduced, and the nonlinear total variation denoising (TVD) algorithm method was adopted for signal denoising. It is validated that thrust measurement in the range of 0–261 μN is achieved with a minimum resolution of 24 nN. The device design and stiffness adjustment method proposed in this paper, as well as the data denoising method utilized, greatly enhance the thrust resolution measurement. This approach enables the development of an accurate micro-thrust model for spaceborne gravitational wave detection missions while simultaneously offering a novel solution for sub-micro-newton-level thrust measurement under heavy load conditions.

IEEE Transactions on Instrumentation and MeasurementVol. 74
Tianjin University (CN), Chinese Academy of Sciences (CN), Shanghai Micro Satellite Engineering Center (CN), Institute for Advanced Study (DE), University of Chinese Academy of Sciences (CN), Innovation Academy for Microsatellites of Chinese Academy of Sciences, Southeast University (CN)
Affordable and clean energy
Openalex Percentile: Top 90%
Advanced Measurement and Detection Methods
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