Publication Date
1-1-2024
Document Type
Article
Publication Title
IEEE Access
DOI
10.1109/ACCESS.2024.3449913
Abstract
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.
Funding Sponsor
Louisiana Economic Development
Keywords
Active vibration control, Analytical models, Computational modeling, Mathematical models, Nonlinear dynamical systems, Nonlinear dynamical systems, physics-based modeling, rotary machines, Rotors, Sliding mode control, sparse identification of nonlinear dynamics (SINDy), terminal sliding mode control (TSMC), Transient analysis, Vibration control, Vibrations
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Department
Mechanical Engineering
Recommended Citation
Sina Piramoon, Mohammad Ayoubi, and Saeid Bashash. "Modeling and Vibration Suppression of Rotating Machines Using the Sparse Identification of Nonlinear Dynamics and Terminal Sliding Mode Control" IEEE Access (2024). https://doi.org/10.1109/ACCESS.2024.3449913
