事件触发状态波器估计INS/DVL集成导航与相关噪声和异常值的事件触发状态波器估计
Xiaolei Ma1, Zhengrong Wei1, Weicheng Liu1
1College of Ocean Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
Sensors (Basel, Switzerland)
|March 17, 2025
概括
本研究介绍了一种事件触发相关噪声过器 (ETCNF),用于在自动水下车辆中融合惯性导航系统 (INS) 和多普勒速度日志 (DVL) 数据,提高导航精度和稳定性.
科学领域:
- 机器人技术和自主系统
- 导航和控制系统 导航和控制系统
- 信号处理 信号处理
背景情况:
- 惯性导航系统 (INS) 和多普勒速度日志 (DVL) 对自动水下车辆 (AUV) 导航至关重要.
- 挑战包括复杂的水下环境中的相关噪声和DVL测量异常.
- 现有的核聚变方法可能无法充分解决这些问题.
研究的目的:
- 为INS/DVL数据融合开发一种新的过方法.
- 为了提高AUV导航系统的准确性和稳定性.
- 为了解决相关噪声和异常的DVL测量.
主要方法:
- 设计了一个事件触发的相关噪声过器 (ETCNF).
- 引入了一个辅助矩阵来解相关噪声以进行状态估计.
- 实施了事件触发机制来检测和消除异常的DVL测量.
主要成果:
- 在ETCNF方法有效地融合了INS和DVL数据.
- 解相关噪声改善了状态估计.
- 事件触发机制成功处理了DVL异常.
- 证明了增强的定位准确性和系统稳定性.
结论:
- 拟议的ETCNF算法为AUV中的INS/DVL数据融合提供了一种优越的方法.
- 该方法有效地减轻相关噪声和DVL测量误差.
- 模拟结果验证了算法的有效性和稳定性.
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