基于模糊逻辑的适应过用于转移对齐
Zhaohui Gao1, Jiahui Yang2, Chengfan Gu3
1School of Electronic Engineering, Xi'an Shiyou University, Xi'an 710065, China.
Sensors (Basel, Switzerland)
|August 28, 2025
概括
这项研究引入了一个模糊的逻辑适应波器,以提高带式惯性导航系统 (SINS) 的转移对准度. 这种新方法通过有效地管理系统模型错误来提高SINS状态估计,达到超过18%的精度.
科学领域:
- 导航系统
- 控制理论
- 信号处理
背景情况:
- 机载战术车辆需要精确的转移对齐.
- 卡尔曼过器中的系统模型错误会降低SINS状态估计的准确性.
研究的目的:
- 开发一种基于模糊逻辑的适应性选方法,用于SINS转移对齐.
- 减轻系统模型错误对SINS状态估计的影响.
主要方法:
- 设计了一个基于模糊逻辑的自适应过方法,用于SINS转移对齐.
- 在卡尔曼波器框架中嵌入状态和测量误差模型.
- 使用模糊规则来估计系统测量,并通过最小化余量来预测状态共差.
主要成果:
- 提出的方法有效地处理SINS转移对齐中的系统模型错误.
- 与基准方法相比,至少达到18.83%的准确性.
- 模拟和实验验证了该方法的性能.
结论:
- 模糊逻辑自适应波器显著提高了SINS传输对齐的准确性.
- 这种方法为空中战术车辆导航提供了强大的解决方案.
- 该方法在管理模型不确定性方面表现出卓越的表现.
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