System identification, health monitoring, and control design of smart structures and materials

Yeesock Kim,Umberto Berardi,Philip Park,Changwon Kim,Reza Sharifi

doi:10.1177/1687814017699340

Abstract

System identification, health monitoring, and control design of smart structures and materials

Highlights

Smart structures and materials have been adopted from many engineering fields because the performance of structural systems and materials can be improved without either significantly increasing the system mass or requiring high cost of control power.[1,2]
To implement such a smart control technology into complex systems, one of the most important but challenging tasks in smart system realization is the development of a mathematical model for system responses that will allow control system design and diagnosis procedures to be carried out in a timely manner
The smart control system has been paid a great attention from a variety of engineering field because the smart control system combines the best features of both active and passive control systems

Summary

Introduction

Smart structures and materials have been adopted from many engineering fields because the performance of structural systems and materials can be improved without either significantly increasing the system mass or requiring high cost of control power.[1,2] To implement such a smart control technology into complex systems, one of the most important but challenging tasks in smart system realization is the development of a mathematical model for system responses that will allow control system design and diagnosis procedures to be carried out in a timely manner. A large number of studies have been performed attempting to estimate behavior of smart system dynamics, using sets of input and output measurement, called system identification (SI).[3,4] Parametric methods are used to determine a finite number of parameters such as mass, stiffness, and damping ratio, which are physical quantities of systems.

Results

Conclusion