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

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.