| Autor: |
Sina Piramoon, Mohammad A. Ayoubi, Saeid Bashash |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
IEEE Access, Vol 12, Pp 119272-119291 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2169-3536 |
| DOI: |
10.1109/ACCESS.2024.3449913 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
