基于四次元的分析偏差估计算法,用于快速准确的静止陀螺覆盖
H Mohammadkarimi1, S Mozafari2, M H Alizadeh2
1Department of Aerospace Engineering, Amirkabir University of Technology, Tehran, Iran. h.mohammadkarimi@aut.ac.ir.
Scientific reports
|July 9, 2024
概括
本研究提出了一种新的SINS (Strapdown惯性导航系统) 调整方法,可以显著加快偏差误差计算速度. 在20秒内达到高精度,超过了需要10分钟的传统方法.
科学领域:
- 导航系统 导航系统
- 惯性导航 惯性导航 惯性导航
- 地质测量是指地质测量.
背景情况:
- 压缩式惯性导航系统 (SINS) 需要精确的对齐,以获得准确的定位.
- 传统的递归对齐方法,如卡尔曼过,可以是计算密集型和缓慢的趋同,特别是在近视角估计.
- 现有的调整技术往往需要相当长的时间,特别是在静止条件下.
研究的目的:
- 为SINS对齐开发一种新的非递归方法,以加快偏差错误计算.
- 与传统方法相比,提高SINS对齐的速度而不会损害准确度.
- 为了克服SINS对齐中的递归算法的缓慢融合限制.
主要方法:
- 利用基于四次数的分析关系来加快偏差错误计算.
- 开发了一种与传统递归过技术不同的方法.
- 使用模拟和实验验证来评估性能.
主要成果:
- 拟议的方法显著减少了对齐时间,在20秒内实现了与传统微细对齐方法相匹配的精度.
- 证明了与传统方法相比的实质性改进,在静止条件下,需要大约10分钟的时间来估计近视角.
- 验证了基于四次数的分析关系在绕过缓慢收行为方面的有效性.
结论:
- 新的SINS对齐方法为传统的递归方法提供了更快,更准确的替代方案.
- 这种技术对于需要在静止环境中快速对齐的应用特别有利.
- 未来的工作可能会探索将适用性扩展到动态条件,并评估不同等级的惯性测量单位 (IMU) 的性能.
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