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Proceedings Paper

Comparison of controller design approaches from a vibration suppression point of view
Author(s): Tamara Nestorovic Trajkov; Heinz Koeppe; Ulrich Gabbert
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Paper Abstract

The paper is aimed at presenting, in the sense of analyzing and comparison, some aspects of modeling, simulation and control of piezoelectric flexible smart structures from the vibration suppression point of view. Taking into account the necessity of a good model development for the purpose of the structure simulation and model-based control design, two approaches are considered: finite element (FEM) method based methodology and system identification approach. The finite element analysis includes modal analysis of the structures with piezoelectric active elements (actuators and sensors) together with the active elements dynamics. Resulting dynamic model of the structure is represented in the form of equations of motion, which after appropriate transformations and modal reduction lead to a state-space model convenient for the controller design. As an alternative, the subspace based system identification is proposed, which in case of the real structure availability, provides a model of the structure from the input-output measured data. Controller design for the purpose of vibration suppression is model based. Optimal LQ tracking and direct model reference adaptive control laws are considered. Uncontrolled and controlled behavior of structures is investigated and the comparison of the proposed control laws and their efficiency verification is performed through the examples.

Paper Details

Date Published: 1 August 2003
PDF: 12 pages
Proc. SPIE 5049, Smart Structures and Materials 2003: Modeling, Signal Processing, and Control, (1 August 2003); doi: 10.1117/12.484008
Show Author Affiliations
Tamara Nestorovic Trajkov, Otto-von-Guericke Univ. Magdeburg (Germany)
Heinz Koeppe, Otto-von-Guericke Univ. Magdeburg (Germany)
Ulrich Gabbert, Otto-von-Guericke Univ. Magdeburg (Germany)

Published in SPIE Proceedings Vol. 5049:
Smart Structures and Materials 2003: Modeling, Signal Processing, and Control
Ralph C. Smith, Editor(s)

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