Iterative Learning Control Based on Force Measurements for Automatic Impulse Hammers

Johannes Maierhofer, Daniel J. Rixen

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

Automatic impulse hammers have proven their advantages in experimental testing. Up to now, adjusting the resulting peak force is a cumbersome hand-tuning of the parameters of the hammer electronic. As the hammer is equipped with a high-quality force sensor anyway, the idea is close to utilize that force sensor signal to control the hammer. Usually these sensors are ICP-Sensors that are directly connected to the data acquisition system that is used to perform the desired measurements. This contribution shows a way to interpose the controller of the hammer and so allow the usage of the measured force. This is used in combination with an iterative learning control scheme to find the best parameters to achieve the desired impact force on the structure in a repeatable and convenient way.

OriginalspracheEnglisch
TitelSpecial Topics in Structural Dynamics and Experimental Techniques, Volume 5 - Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics 2023
Redakteure/-innenMatthew Allen, Jason Blough, Michael Mains
Herausgeber (Verlag)Springer
Seiten65-77
Seitenumfang13
ISBN (Print)9783031370069
DOIs
PublikationsstatusVeröffentlicht - 2024
VeranstaltungProceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics 2023 - Austin, USA/Vereinigte Staaten
Dauer: 13 Feb. 202316 Feb. 2023

Publikationsreihe

NameConference Proceedings of the Society for Experimental Mechanics Series
ISSN (Print)2191-5644
ISSN (elektronisch)2191-5652

Konferenz

KonferenzProceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics 2023
Land/GebietUSA/Vereinigte Staaten
OrtAustin
Zeitraum13/02/2316/02/23

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