UM  > GRADUATE SCHOOL
Status已發表Published
System Identification and Control in Structural Engineering
Yuen, K. V.; Kuok, S.C.
2016-12-01
Source PublicationEncyclopedia of Life Support Systems (EOLSS)
PublisherUNESCO
Pages1-44
AbstractThere has been tremendous effort in the development of smart structures in the past decades due to the rapid development of sensor and actuator technology. A smart structure has essentially two main systems, namely health monitoring system and vibration control system, in addition to the concerned civil engineering structure. Health monitoring system is used to detect any possible damage and/or deterioration while vibration control system is used to suppress the vibration of a structure for safety and serviceability consideration. Health monitoring system includes data acquisition system, identification algorithm, diagnosis and prognosis system. Data acquisition system records structural response (usually acceleration) for the identification algorithm to estimate some key parameters, such as modal frequencies or stiffnesses of the structure. By using this result, the diagnosis system determines any possible damage, its location and severity. Finally, the prognosis system estimates the possible consequences of the identified damage. On the other hand, there are several types of vibration control systems: passive, active and semi-active control system. Passive control system suppresses structural vibration by base isolation or energy dissipating mechanism without using any sensory system. Active or semi-active control system includes data acquisition system and controller algorithm. The measured response is used to compute the feedback by the controller. An active control system applies feedback force through an actuator system while a semi-active control system applies feedback to adjust in a real time manner the variable damping and/or stiffness properties of some advanced devices installed in a structure. In this chapter, we focus on the algorithms for both health monitoring and vibration control system. First, we present the fundamental concepts of system identification, including definition of input-output relationship, modal identification, model updating and model identifiability, etc. Then, we introduce a number of well-known parametric identification methods using measured response and they are categorized into non-Bayesian and Bayesian types. Next, an iterative model updating procedure using identified modal parameters of a structure will be presented. Afterwards, we will introduce another level of system identification problem, which is the selection of a suitable model class for parametric identification. Three well-known methods are presented: Akaike information criterion, Bayesian information criterion and Bayesian asymptotic expansion. In the second half of this chapter, we will focus on vibration control for civil engineering structures. Passive control, active control and semi-active control strategy will be introduced. Finally, two popular control algorithms, namely the linear quadratic Gaussian regulator and the sliding mode control, will be introduced. Their application in conjunction with the clipped optimal controller for semi-active control is also presented.
KeywordBase isolation Bayesian inference clipped optimal controller eigensystem realization algorithm feedback control inverse problem Kalman filter linear quadratic Gaussian regulator modal identification model class selection model updating parametric identification sliding mode control state space structural health monitoring system identification vibration control
URLView the original
Language英語English
ISBN9781848264588
The Source to ArticlePB_Publication
PUB ID33820
Document TypeBook chapter
CollectionGRADUATE SCHOOL
Corresponding AuthorYuen, K. V.
Recommended Citation
GB/T 7714
Yuen, K. V.,Kuok, S.C.. System Identification and Control in Structural Engineering[M]. Encyclopedia of Life Support Systems (EOLSS):UNESCO, 2016, 1-44.
APA Yuen, K. V.., & Kuok, S.C. (2016). System Identification and Control in Structural Engineering. Encyclopedia of Life Support Systems (EOLSS), 1-44.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yuen, K. V.]'s Articles
[Kuok, S.C.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yuen, K. V.]'s Articles
[Kuok, S.C.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yuen, K. V.]'s Articles
[Kuok, S.C.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.