Research on active-passive integrated vibration isolator based on metal rubber and piezoelectric actuator

Abstract The paper introduces a novel active-passive integrated vibration isolator based on metal rubber and piezoelectric actuator, along with an adaptive active vibration control strategy. The active control strategy employs the adaptive dynamic step filtered-x normalized least mean squares algorithm, allowing the step size to adaptively adjust with the error. The secondary control path of the algorithm is modeled using the enhanced rate-dependent Prandtl–Ishlinskii model and the auto-regressive with extra inputs model. The active-passive integrated vibration isolator achieves broadband vibration isolation from 10 to 200 Hz. Compared to passive isolation, the transmissibility decreases from 0.99 to 0.056 at 10 Hz, from 3.02 to 0.068 at the resonance frequency, and from 0.057 to 0.046 at 200 Hz. This study provides a theoretical and experimental foundation for the design of a novel, broadband, and efficient active-passive integrated vibration isolator structure and active control method.

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Publication Details

Journal
Smart Materials and Structures
Published
2024-08-13
DOI
https://doi.org/10.1088/1361-665x/ad6ed0
Citations
7
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
1.83

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article

Research on active-passive integrated vibration isolator based on metal rubber and piezoelectric actuator

Yuechen Liu, Jiaxi Jin, Zhaobo Chen, Xuan Sun
7 citations
Smart Materials and Structures
Structural Health Monitoring Techniques
1.83
article

Research on active-passive integrated vibration isolator based on metal rubber and piezoelectric actuator

Yuechen Liu, Jiaxi Jin, Zhaobo Chen, Xuan Sun
article en
7 citations

Abstract

Abstract The paper introduces a novel active-passive integrated vibration isolator based on metal rubber and piezoelectric actuator, along with an adaptive active vibration control strategy. The active control strategy employs the adaptive dynamic step filtered-x normalized least mean squares algorithm, allowing the step size to adaptively adjust with the error. The secondary control path of the algorithm is modeled using the enhanced rate-dependent Prandtl–Ishlinskii model and the auto-regressive with extra inputs model. The active-passive integrated vibration isolator achieves broadband vibration isolation from 10 to 200 Hz. Compared to passive isolation, the transmissibility decreases from 0.99 to 0.056 at 10 Hz, from 3.02 to 0.068 at the resonance frequency, and from 0.057 to 0.046 at 200 Hz. This study provides a theoretical and experimental foundation for the design of a novel, broadband, and efficient active-passive integrated vibration isolator structure and active control method.

Smart Materials and StructuresVol. 33(9)
Harbin Institute of Technology (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 17%
Structural Health Monitoring Techniques
1.83
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