一个增强的自适应卡尔曼波器用于多体模型观测
Antonio J Rodríguez1, Emilio Sanjurjo1, Miguel Ángel Naya1
1Laboratory of Mechanical Engineering, CITENI, Campus Industrial de Ferrol, Universidade da Coruña, 15403 Ferrol, Spain.
Sensors (Basel, Switzerland)
|April 12, 2025
概括
这项研究引入了一种新的适应方法,用于调整多体系统中的卡尔曼波器参数. 该方法提高了虚拟传感器和数字双胞胎的状态估计准确性.
科学领域:
- 工程 工程师 工程师 工程师
- 控制系统 控制系统
- 计算力学 计算力学 计算力学
背景情况:
- 使用卡尔曼波器和多体模型进行状态估计对于虚拟传感器和数字双胞胎至关重要.
- 一个关键的挑战是调整波器参数,特别是工厂噪声共变矩阵.
研究的目的:
- 介绍一种用于适应调整多体系统卡尔曼波器中的工厂噪声参数的新方法.
- 与现有方法相比,提高状态估计的准确性和稳定性.
主要方法:
- 开发了一种新方法,其中包含了塑型波器,以减少植物噪音.
- 实现了一个自适应算法,自动调整工厂噪声参数.
- 使用"三模拟方法"验证了该方法,并与文献方法进行了比较.
主要成果:
- 新的自适应方法的准确性与最好的手动调节过器相当或超过.
- 它显著改进了之前发表的自适应状态估计技术.
- 开发的方法可以在开源的MBDE库 (MATLAB) 中找到.
结论:
- 拟议的自适应卡尔曼波器调整方法为多体系统提供了增强的状态估计.
- 这一进步对控制应用和数字双胞胎技术有价值.
- 开源的MBDE库有助于采用这些先进技术.
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