Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

CiteULike is a free service for managing and discovering scholarly references - click here to get started.

Sign In to gain access to subscriptions and/or personal tools.
Journal of Intelligent Material Systems and Structures
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Chen, C. I.
Right arrow Articles by Smith, J. E.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Active Vibration Control Using the Modified Independent Modal Space Control (M.I.M.S.C.) Algorithm and Neural Networks as State Estimators

Ching I. Chen

Department of Mechanical Engineering Chung-Hua Polytechnic Institute Taiwan, 30067, R.O.C.

Marcello R. Napolitano

Department of Mechanical and Aerospace Engineering G-60 Engineering Science Building West Virginia University Morgantown, WV 26506-6101

James E. Smith

Department of Mechanical and Aerospace Engineering G-60 Engineering Science Building West Virginia University Morgantown, WV 26506-6101

This article presents a numerical study related to the active control of the vibrations of a cantilevered beam with piezoelectric actuators using the Modified Independent Modal Space Control (M.I.M.S.C.) algorithm coupled with a neural network for state estimation. Among other control strategies, the M.I.M.S.C. algorithm has been shown to have excellent closed-loop structural damping. Such an algorithm requires as input data the modal displacements and velocities of the vibrating beam. A Neural Network is proposed in this paper as an alternative approach to classic estimation structures for the on-line estimation of the modal parameters. The results of a numerical case study are presented and discussed.

Journal of Intelligent Material Systems and Structures, Vol. 5, No. 4, 550-558 (1994)
DOI: 10.1177/1045389X9400500411
Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?