Campus Units

Civil, Construction and Environmental Engineering, Electrical and Computer Engineering, Center for Nondestructive Evaluation (CNDE)

Document Type

Article

Publication Version

Submitted Manuscript

Publication Date

2018

Abstract

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 highrate 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 databased 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.

Research Focus Area

Structural Engineering

Comments

This is a manuscript of Jonathan Hong, Simon Laflamme, Jacob Dodson (2018), "Study of Input Space for State Estimation of High-Rate Dynamics, Structural Control and Health Monitoring." Posted with permission.

Copyright Owner

The Authors

Language

en

File Format

application/pdf

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