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Modeling and Vibration Suppression of Rotating Machines Using the Sparse Identification of Nonlinear Dynamics and Terminal Sliding Mode Control

IEEE Access, ISSN: 2169-3536, Vol: 12, Page: 119272-119291
2024
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  • Captures
    1
  • Mentions
    1
    • News Mentions
      1
      • News
        1

Article Description

This paper presents a novel physics-based data-driven approach for reconstructing the nonlinear governing equations and suppressing vibrations in vertical-shaft rotary machines during transient motion. We first identify the key nonlinear terms using a physics-based methodology. Subsequently, a data-driven approach, known as the Sparse Identification of Nonlinear Dynamical Systems (SINDy), is employed to reconstruct the nonlinear governing equations of a typical rotary machine. After validating the model, a robust nonlinear controller is designed using the terminal sliding mode control (TSMC) technique to reduce lateral vibrations in the machine's shaft. Extensive experimental tests on a laboratory-scale rotary system confirm the stability and robustness of the proposed approach. The results also demonstrate that the proposed method significantly reduces lateral vibrations in rotary machines.

Bibliographic Details

Sina Piramoon; Mohammad A. Ayoubi; Saeid Bashash

Institute of Electrical and Electronics Engineers (IEEE)

Computer Science; Materials Science; Engineering

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