Enhancing Bandgap Depth in Locally Resonant Metastructures via Notch-Filtered Piezoelectric Actuation

Conference Paper (2024)
Author(s)

Hossein Alimohammadi (Tallinn University of Technology)

Kristina Vassiljeva (Tallinn University of Technology)

S.H. Hassan HosseinNia (TU Delft - Mechatronic Systems Design)

E. Petlenkov (Tallinn University of Technology)

Research Group
Mechatronic Systems Design
DOI related publication
https://doi.org/10.1109/ICIT58233.2024.10540976
More Info
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Publication Year
2024
Language
English
Research Group
Mechatronic Systems Design
ISBN (electronic)
979-8-3503-4026-6
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Abstract

This paper proposes an effective approach to en-hance bandgap depth in metastructures with high damping ratios, utilizing piezoelectric actuators coupled with notch filters for improved vibration isolation. The active control strategy focuses on dynamically attenuating specific resonant frequencies through the application of notch filters within the actuator control loops. AI algorithm, in particular Reinforcement Learning, is employed to optimize the notch filter parameters, thereby fine-tuning the system's response. Numerical validation reveals that this approach not only maintains system stability but also significantly deepens the bandgap. The results highlight that utilizing notched piezo-actuation achieves a more pronounced bandgap depth in overdamped systems compared to traditional piezo-actuated resonators, marking a substantial advancement in vibration control technologies.

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