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Updated: May 16, 2026

Optimization, Test and Diagnostics of Miniaturized Hall Thrusters

Optimization, Test and Diagnostics of Miniaturized Hall Thrusters

Published on: February 16, 2019

High-precision micro-thrust measurement instrument: Dynamic structural design and virtual diagnosis optimization.

Shouming Zhao¹, Xiaofei Zheng¹, Xiaoyu Fu¹

¹National Key Laboratory of Strength and Structural Integrity, School of Aeronautic Science and Engineering, Beihang University, Beijing 102206, China.

The Review of Scientific Instruments

|May 14, 2026

Summary

This summary is machine-generated.

Developing precise micro-thrust measurement instruments for space missions is crucial. This study introduces an improved Roberval configuration and a virtual measurement instrument (VMI) to enhance resolution and reliability in detecting tiny forces.

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Last Updated: May 16, 2026

Optimization, Test and Diagnostics of Miniaturized Hall Thrusters

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Area of Science:

Astrophysics and Space Science
Precision Measurement Engineering

Background:

Space-based gravitational wave detection requires highly sensitive micro-thrust measurement instruments (micronewton/nanonewton scale).
Current technologies face significant challenges in the design, fabrication, calibration, and operation of these instruments.

Purpose of the Study:

To propose an improved Roberval configuration for enhanced measurement resolution and interference resistance.
To develop a comprehensive virtual measurement instrument (VMI) for modeling and optimizing micro-thrust sensors.

Main Methods:

An H-type linked parallelogram torsion balance structure was employed for the improved Roberval configuration.
A simulation kernel was developed to model the instrument's structural dynamics and key influencing factors.
The VMI was validated against analytical solutions and experimental data from a physical measurement instrument (PMI).

Main Results:

The VMI accurately modeled the instrument's behavior and was validated against physical measurements.
The VMI enabled efficient verification and optimization of the dynamic structure and measurement performance.
Comparative analyses between the VMI and PMI were performed under noisy conditions.

Conclusions:

The developed digital design framework, based on iterative structural optimization and virtual diagnostics, significantly improves development efficiency and reliability.
This approach facilitates the prediction of measurement performance and optimization of passive environmental suppression strategies for micro-thrust instruments.