| Issue |
JNWPU
Volume 43, Number 5, October 2025
|
|
|---|---|---|
| Page(s) | 994 - 1002 | |
| DOI | https://doi.org/10.1051/jnwpu/20254350994 | |
| Published online | 05 December 2025 | |
Correlation analysis method of micro-satellite magnetic torquers under constraint conditions
约束条件下微小卫星磁力矩器关联分析方法
Institute of Precision Guidance and Control, Northwestern Polytechnical University, Xi′an 710072, China
Received:
18
September
2024
Abstract
As an important part of the attitude control system of micro satellite, the magnetic torquer shoulders the tasks of satellite attitude stabilization and attitude control system offloading. Due to the large number of influencing factors and unclear influencing mechanism, it is difficult for the practical engineering products to achieve the theoretical optimal design results. Through the method of association rule mining in data mining, the influence degree of different factors on product indicators is explored, and then the decision-making suggestions for actual product manufacturing are given. Firstly, the influence mode of a single factor on the output of the magnetic torquer is studied, and the influence rule between the output magnetic moment and different parameters is revealed. Secondly, the Apriori algorithm in the machine learning algorithm is used to study the influence degree of different factors on the final index results, and the different influencing factors leading to the change of the index are evaluated. Finally, the feasibility of the method is analyzed by simulation experiments and the applicability of the method is verified by examples, and the factors that have the greatest influence on the product performance are obtained. Starting from the data, this paper abstracts the reference experience that is beneficial to the comparison and judgment of the subsequent optimization design, and provides new research ideas and technical support for the design and manufacture of the future magnetic torquer.
摘要
磁力矩器作为微小卫星姿态控制系统的重要组成部分,肩负着卫星姿态稳定、姿控系统卸载等任务。应用于微小卫星的磁力矩器影响因素较多以及现阶段工程精度的限制,导致实际工程制造的产品难以达到理论上的最优设计结果。通过数据挖掘中关联规则挖掘的方法,探究不同因素对于产品指标影响程度的大小,进而为实际产品制造给出决策建议。研究单个因素对磁力矩器输出的影响模式,揭示了不同参数对输出磁矩的影响规律;运用机器学习算法中的Apriori算法研究不同因素对最终指标结果的影响程度,对导致指标变化的不同影响因素进行评价;通过仿真实验分析验证了方法的可行性, 得到了对产品性能影响最大的因素。从数据出发,抽象出了有利于对后续优化设计进行比较和判断的参考经验,为未来磁力矩器设计与制造提供了新的研究思路与技术支撑。
Key words: micro-satellite / magnetorquer / Apriori / association analysis
关键字 : 微小卫星 / 磁力矩器 / Apriori / 关联分析
© 2025 Journal of Northwestern Polytechnical University. All rights reserved.
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