Experimental Identification and Control of a Cantilever Beam Using ERA/OKID with a LQR Controller

This paper presents an experimental study of the system identification and vibration control of a cantilever beam. For system identification, a white noise was applied, and the response signal was measured. These signals were used to feed the eigensystem realization algorithm–Observer/Kalman Filter...

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Bibliographic Details
Published in:	Journal of control, automation & electrical systems Vol. 25; no. 2; pp. 161 - 173
Main Authors:	Gagg F., L.A., da Conceição, S.M., Vasques, C.H., de Abreu, G.L.C.M., Lopes, V., Brennan, M.J.
Format:	Journal Article
Language:	English
Published:	Boston Springer US 01-04-2014
Subjects:	Control Control and Systems Theory Electrical Engineering Engineering Mechatronics Robotics Robotics and Automation OKID ERA Optimal control Linear quadratic regulator
Online Access:	Get full text
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Summary:	This paper presents an experimental study of the system identification and vibration control of a cantilever beam. For system identification, a white noise was applied, and the response signal was measured. These signals were used to feed the eigensystem realization algorithm–Observer/Kalman Filter identification method. The identified system was reduced using the Hankel norm model. An linear quadratic regulator controller was projected to operate just on the first two natural frequencies of the structure. The damping ratio of the first mode was effectively increased from 0.009 to 0.046.
ISSN:	2195-3880 2195-3899
DOI:	10.1007/s40313-014-0108-8