Study of input space for state estimation of high-rate dynamics
Study of input space for state estimation of high-rate dynamics
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DOI：
10.1002/stc.2159
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发表时间：
2018-06-01
影响因子：
5.4
通讯作者：
Dodson, Jacob
中科院分区：
文献类型：
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作者：
Hong, Jonathan;Laflamme, Simon;Dodson, Jacob
高速率动态系统被定义为暴露于包括高速率和高振幅事件的高度动态环境的系统。这种系统的例子包括暴露于爆炸的民用结构，容易受到碎片撞击的航天飞机，以及经历飞行中变化的航空器。这些系统的高速率动态特性为状态估计器提供了几种提高性能的可能性，包括减少伤害和挽救生命的高潜力。在本文中，机遇和挑战，是特定的高速动态系统的状态估计的介绍和讨论。有人认为，一个可能的路径设计的状态估计器的高速率动态是利用自适应的基于数据的观测器，但需要进行进一步的研究，以提高其收敛速度。设计了一种自适应神经元观测器，以研究在高速状态估计中选择适当输入空间的特殊挑战。据发现，输入的选择有一个显着的影响，对低速率的环境相比，高速率动态的观测器性能。此外，通过不正确的输入空间对系统动态的错误描述会在估计中产生很大的误差，这可能会欺骗闭环系统中的决策过程，做出错误的判断。
High-rate dynamic systems are defined as systems being exposed to highly dynamic environments that comprise high-rate and high-amplitude events. Examples of such systems include civil structures exposed to blast, space shuttles prone to debris strikes, and aerial vehicles experiencing in-flight changes. The high-rate dynamic characteristics of these systems provides several possibilities for state estimators to improve performance, including a high potential to reduce injuries and save lives. In this paper, opportunities and challenges that are specific to state estimation of high-rate dynamic systems are presented and discussed. It is argued that a possible path to design of state estimators for high-rate dynamics is the utilization of adaptive data-based observers but that further research needs to be conducted to increase their convergence rate. An adaptive neuro-observer is designed to examine the particular challenges in selecting an appropriate input space in high-rate state estimation. It is found that the choice of inputs has a significant influence on the observer performance for high-rate dynamics when compared against a low-rate environment. Additionally, misrepresentation of a system dynamics through incorrect input spaces produces large errors in the estimation, which could potentially trick the decision-making process in a closed-loop system in making bad judgments.