Identification of Vibration Superimposed Motion of a System with Distributed Parameters

A precise model with low order for controller design is indispensable for the high performance control of thin flexible structures. Such systems require a high model quality ranging from slow, low frequency dynamics (rigid body) to fast, high frequency dynamics (vibration) for an accurate prediction of the superposed motion. The considered system in this contribution comprises low frequent pendulum dynamics and a dense natural frequency spectrum of a plate. In order to obtain a precises non-square multiple-intput multiple-output model description, an iterative identification procedure applying time and frequency methods is proposed. Additionally, an optimization based model order reduction considering a modal system description is introduced. The precise fit of the reduced order model to the collected data underpins the proposed procedure.

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Publication Details

Journal
IFAC-PapersOnLine
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ifacol.2025.03.048
Primary Topic
Control Systems and Identification
Type
article
Field-Weighted Citation Impact
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article

Identification of Vibration Superimposed Motion of a System with Distributed Parameters

André Heining, Oliver Sawodny
IFAC-PapersOnLine
Control Systems and Identification
article

Identification of Vibration Superimposed Motion of a System with Distributed Parameters

André Heining, Oliver Sawodny
article en

Abstract

A precise model with low order for controller design is indispensable for the high performance control of thin flexible structures. Such systems require a high model quality ranging from slow, low frequency dynamics (rigid body) to fast, high frequency dynamics (vibration) for an accurate prediction of the superposed motion. The considered system in this contribution comprises low frequent pendulum dynamics and a dense natural frequency spectrum of a plate. In order to obtain a precises non-square multiple-intput multiple-output model description, an iterative identification procedure applying time and frequency methods is proposed. Additionally, an optimization based model order reduction considering a modal system description is introduced. The precise fit of the reduced order model to the collected data underpins the proposed procedure.

IFAC-PapersOnLineVol. 59(1)
University of Stuttgart (DE)
Openalex Percentile: Top 94%
Control Systems and Identification
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