Fractional-Order Modeling and Identification for Dual-Inertia Servo Inverter Systems with Lightweight Flexible Shaft or Coupling
To effectively mitigate resonance in dual-inertia servo inverter systems with a lightweight flexible shaft or coupling, the precise modeling of the dual-mass mechanism is essential. This paper proposes a fractional-order modeling and identification methodology tailored for a dual-mass loading perman...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-04-01
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| Series: | Fractal and Fractional |
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| Online Access: | https://www.mdpi.com/2504-3110/9/4/222 |
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| author | Xiaohong Wang Yijian Su Ying Luo Tiancai Liang Hengrui Hu |
| author_facet | Xiaohong Wang Yijian Su Ying Luo Tiancai Liang Hengrui Hu |
| author_sort | Xiaohong Wang |
| collection | DOAJ |
| description | To effectively mitigate resonance in dual-inertia servo inverter systems with a lightweight flexible shaft or coupling, the precise modeling of the dual-mass mechanism is essential. This paper proposes a fractional-order modeling and identification methodology tailored for a dual-mass loading permanent magnet synchronous motor (PMSM) servo inverter system. By extending the traditional integer-order model to a more precise fractional-order one, the accuracy of resonance capture can be enhanced within the dual-inertia mechanism. Model parameters are identified using an output error approach combined with the Levenberg–Marquardt (LM) algorithm for fractional-order identification. To validate the effectiveness of this proposed methodology, a PMSM servo inverter experimental platform was developed, and identification experiments were conducted on this platform. The experimental results demonstrate that the proposed fractional-order modeling and parameter identification method significantly improves the system characterization accuracy of the dual-inertia servo inverter system. |
| format | Article |
| id | doaj-art-59e77b570e95497da5c35835e60d51d0 |
| institution | DOAJ |
| issn | 2504-3110 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Fractal and Fractional |
| spelling | doaj-art-59e77b570e95497da5c35835e60d51d02025-08-20T03:13:54ZengMDPI AGFractal and Fractional2504-31102025-04-019422210.3390/fractalfract9040222Fractional-Order Modeling and Identification for Dual-Inertia Servo Inverter Systems with Lightweight Flexible Shaft or CouplingXiaohong Wang0Yijian Su1Ying Luo2Tiancai Liang3Hengrui Hu4School of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, ChinaSchool of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, ChinaSchool of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, ChinaSchool of Artificial Intelligence, Guangzhou University, Guangzhou 510006, ChinaSchool of Mathematics, Jiaying University, Meizhou 514015, ChinaTo effectively mitigate resonance in dual-inertia servo inverter systems with a lightweight flexible shaft or coupling, the precise modeling of the dual-mass mechanism is essential. This paper proposes a fractional-order modeling and identification methodology tailored for a dual-mass loading permanent magnet synchronous motor (PMSM) servo inverter system. By extending the traditional integer-order model to a more precise fractional-order one, the accuracy of resonance capture can be enhanced within the dual-inertia mechanism. Model parameters are identified using an output error approach combined with the Levenberg–Marquardt (LM) algorithm for fractional-order identification. To validate the effectiveness of this proposed methodology, a PMSM servo inverter experimental platform was developed, and identification experiments were conducted on this platform. The experimental results demonstrate that the proposed fractional-order modeling and parameter identification method significantly improves the system characterization accuracy of the dual-inertia servo inverter system.https://www.mdpi.com/2504-3110/9/4/222dual-inertia servo inverter systemfractional-order modelingsystem identificationLevenberg–Marquardt algorithmpermanent magnet synchronous motor (PMSM) |
| spellingShingle | Xiaohong Wang Yijian Su Ying Luo Tiancai Liang Hengrui Hu Fractional-Order Modeling and Identification for Dual-Inertia Servo Inverter Systems with Lightweight Flexible Shaft or Coupling Fractal and Fractional dual-inertia servo inverter system fractional-order modeling system identification Levenberg–Marquardt algorithm permanent magnet synchronous motor (PMSM) |
| title | Fractional-Order Modeling and Identification for Dual-Inertia Servo Inverter Systems with Lightweight Flexible Shaft or Coupling |
| title_full | Fractional-Order Modeling and Identification for Dual-Inertia Servo Inverter Systems with Lightweight Flexible Shaft or Coupling |
| title_fullStr | Fractional-Order Modeling and Identification for Dual-Inertia Servo Inverter Systems with Lightweight Flexible Shaft or Coupling |
| title_full_unstemmed | Fractional-Order Modeling and Identification for Dual-Inertia Servo Inverter Systems with Lightweight Flexible Shaft or Coupling |
| title_short | Fractional-Order Modeling and Identification for Dual-Inertia Servo Inverter Systems with Lightweight Flexible Shaft or Coupling |
| title_sort | fractional order modeling and identification for dual inertia servo inverter systems with lightweight flexible shaft or coupling |
| topic | dual-inertia servo inverter system fractional-order modeling system identification Levenberg–Marquardt algorithm permanent magnet synchronous motor (PMSM) |
| url | https://www.mdpi.com/2504-3110/9/4/222 |
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