适应性层次过粒子群集优化用于多个磁双极模型的空间设备的粒子群集优化
Ye Liu1,2, Xingjian Shi1, Shengfeng Meng1
1Innovation Academy for Microsatellites of Chinese Academy of Sciences, Shanghai, 201304, China.
Scientific reports
|September 30, 2025
概括
一个新的自适应层次过粒子群集优化 (AHFPSO) 算法准确地模拟了多个磁双极,克服了航天器磁场表征常规方法的局限性.
科学领域:
- 太空科学与工程 太空科学与工程
- 计算电磁学 计算机电磁学
- 优化算法 优化算法
背景情况:
- 对多重磁双极 (MDM) 的准确建模对于航天器磁场特征和干扰缓解至关重要.
- 传统的MDM方法在复杂场景中与局部收和维度的诅咒作斗争.
研究的目的:
- 引入一个先进的算法,自适应层次过粒子群集优化 (AHFPSO),以改进MDM.
- 解决现有方法在高维和多极磁源环境中的局限性.
主要方法:
- 适应性层次过粒子群集优化 (AHFPSO) 算法的开发.
- 在公用事业义务框架内纳入层次过和自适应调整机制.
- 在无噪声和噪声条件下进行广泛的模拟,包括使用标准磁铁和航天器回应器进行实验验证.
主要成果:
- 在准确性,稳定性,成功率和执行时间方面,AHFPSO显著优于八种最先进的PSO变体.
- 该算法在为航天器转发器建模等效磁二极子时刻方面表现出高精度,跨轴平均误差较低 (-0.3472 nT,0.7445 nT, -0.4141 nT).
- 验证证实在现实场景中的实际应用性和高建模精度.
结论:
- AHFPSO有效地解决了复杂的,错误的MDM反向问题.
- 拟议的方法增强了公共服务局对具有挑战性的磁性表征任务的能力.
- AHFPSO为未来的太空任务提供了一个有前途的工具,需要精确的磁场分析.
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