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Volume 11 Issue 9
Sep.  2024

IEEE/CAA Journal of Automatica Sinica

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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2024  >  11(9): 1898-1917
W. Yang, S. Li, and  X. Luo,  “Data driven vibration control: A review,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 9, pp. 1898–1917, Sept. 2024. doi: 10.1109/JAS.2024.124431
Citation: W. Yang, S. Li, and  X. Luo,  “Data driven vibration control: A review,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 9, pp. 1898–1917, Sept. 2024. doi: 10.1109/JAS.2024.124431
shu

Data Driven Vibration Control: A Review

doi: 10.1109/JAS.2024.124431
Funds:  This work was supported by the National Natural Science Foundation of China (62272078)
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    Abstract

  • With the ongoing advancements in sensor networks and data acquisition technologies across various systems like manufacturing, aviation, and healthcare, the data driven vibration control (DDVC) has attracted broad interests from both the industrial and academic communities. Input shaping (IS), as a simple and effective feedforward method, is greatly demanded in DDVC methods. It convolves the desired input command with impulse sequence without requiring parametric dynamics and the closed-loop system structure, thereby suppressing the residual vibration separately. Based on a thorough investigation into the state-of-the-art DDVC methods, this survey has made the following efforts: 1) Introducing the IS theory and typical input shapers; 2) Categorizing recent progress of DDVC methods; 3) Summarizing commonly adopted metrics for DDVC; and 4) Discussing the engineering applications and future trends of DDVC. By doing so, this study provides a systematic and comprehensive overview of existing DDVC methods from designing to optimizing perspectives, aiming at promoting future research regarding this emerging and vital issue.

     

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    Highlights

    • Introducing the theory of input shaping and several standard shapers
    • Summarizing the progress of input shaping method from designing to optimizing perspectives, where the state-of-the-art is carefully reviewed and categorized
    • Summarizing the typical evaluation metrics of data driven vibration control models, as well as the control metrics for comparing different data driven vibration control methods
    • Discussing the data driven vibration control development trends

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