基于遗传算法的卫星磁模型研究

doi:10.3969/j.issn.0372-2112.2020.06.009

电子学报 ›› 2020, Vol. 48 ›› Issue (6): 1108-1112.DOI: 10.3969/j.issn.0372-2112.2020.06.009

基于遗传算法的卫星磁模型研究

徐超群^1,2, 易忠^1,2, 孟立飞², 刘超波², 黄魁²

1. 可靠性与环境工程技术重点实验室, 北京 100094;
2. 北京卫星环境工程研究所, 北京 100094

收稿日期:2018-04-23 修回日期:2020-02-16 出版日期:2020-06-25
- 通讯作者:
- 易忠
- 作者简介:
- 徐超群 男,1985年生于陕西宝鸡.中国空间技术研究院,博士研究生,研究方向为航天器磁环境工程. E-mail:xucq111@163.com
- 基金资助:
- 国家重点研发计划 (No.2016YFB0501304）

Research on Satellite Magnetic Model Based on Genetic Algorithm

XU Chao-qun^1,2, YI Zhong^1,2, MENG Li-fei², LIU Chao-bo², HUANG Kui²

1. Science and Technology on Reliability and Environmental Engineering Laboratory, Beijing 100094, China;
2. Beijing Institute of Spacecraft Environment Engineering, Beijing 100094, China

Received:2018-04-23 Revised:2020-02-16 Online:2020-06-25 Published:2020-06-25

摘要/Abstract

摘要： 针对卫星磁特性研究与磁试验，建立了卫星多磁偶极子模型，分离了线性和非线性部分，利用遗传算法，以测点的模拟值和测量值之差的均方根作为目标函数，搜索多磁偶极子的位置，同时检测拟合误差，使得目标函数达到最优的同时，拟合误差也满足要求.最后对卫星静止状态和加电状态的磁性进行了计算，试验结果表明，用该方法建立卫星磁场模型精度高，磁矩和磁场的误差均小于5%，并且对测量误差不敏感，具有很强的鲁棒性.

关键词: 卫星, 多磁偶极子, 遗传算法, 误差

Abstract: According to the research of satellite magnetic characteristics and magnetic test,the model of satellite multi-magnetic dipole is established,the linear part and nonlinear parts are separated,The root mean square of the difference between the simulated value and the measured value is taken as the objective function,and the genetic algorithm is used to search the position of the multi-magnetic dipoles,at the same time,the fitness error between measurements and calculations is monitored so that when the object function reaches the optimum,the fitness error can meet the requirement.At last,the magnetic properties of the satellite in static state and electrified state are calculated,the result shows that the magnetic model obtained by adopting the method is high accurate and strong robust,the error of magnetic field and magnetic moment are both less than 5%.

Key words: satellite, multi-magnetic dipole, genetic algorithm, error

中图分类号:

O441.2

徐超群, 易忠, 孟立飞, 刘超波, 黄魁. 基于遗传算法的卫星磁模型研究[J]. 电子学报, 2020, 48(6): 1108-1112.

XU Chao-qun, YI Zhong, MENG Li-fei, LIU Chao-bo, HUANG Kui. Research on Satellite Magnetic Model Based on Genetic Algorithm[J]. Acta Electronica Sinica, 2020, 48(6): 1108-1112.

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基于遗传算法的卫星磁模型研究

Research on Satellite Magnetic Model Based on Genetic Algorithm

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