Online vibration state identification of multi-rigid-body system based on self-healing model
Abstract The paper proposes a multi-rigid-body system state identification method based on self-healing model in order to improve the accuracy and reliability of CNC machine tools. Firstly, considering the influence of the joint surface, the Lagrange method is used to establish the mechanical model...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-12-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-83252-3 |
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| _version_ | 1841559477838413824 |
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| author | Guoyu Wang Yang Tian Chunming Hou Kewei Tong |
| author_facet | Guoyu Wang Yang Tian Chunming Hou Kewei Tong |
| author_sort | Guoyu Wang |
| collection | DOAJ |
| description | Abstract The paper proposes a multi-rigid-body system state identification method based on self-healing model in order to improve the accuracy and reliability of CNC machine tools. Firstly, considering the influence of the joint surface, the Lagrange method is used to establish the mechanical model of the multi-rigid-body system. We input acceleration information and use the second-order modulation function to complete the online real-time identification of the joint surface parameters, thereby establishing the self-healing mechanical model of the multi-rigid-body system. Then, the system state equation is established by Kalman filter method based on the self-healing mechanical model, and the full information identification of multi-rigid-body system is realized by using acceleration information as input. Finally, the VMC850 vertical machining center is taken as an example to verify that the above method has high accuracy. The online state identification method proposed in this paper can provide real-time data basis for machine tool accuracy compensation and health state estimation. |
| format | Article |
| id | doaj-art-f590e66a9e3e4bdeaca0d971aea52899 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-f590e66a9e3e4bdeaca0d971aea528992025-01-05T12:30:02ZengNature PortfolioScientific Reports2045-23222024-12-0114111210.1038/s41598-024-83252-3Online vibration state identification of multi-rigid-body system based on self-healing modelGuoyu Wang0Yang Tian1Chunming Hou2Kewei Tong3School of Mechanical Engineering and Automation, Shenyang Institute of TechnologySchool of Mechanical Engineering, Liaoning Engineering Vocational CollegeSchool of Mechanical Engineering and Automation, Shenyang Institute of TechnologySchool of Mechanical Engineering, Liaoning Engineering Vocational CollegeAbstract The paper proposes a multi-rigid-body system state identification method based on self-healing model in order to improve the accuracy and reliability of CNC machine tools. Firstly, considering the influence of the joint surface, the Lagrange method is used to establish the mechanical model of the multi-rigid-body system. We input acceleration information and use the second-order modulation function to complete the online real-time identification of the joint surface parameters, thereby establishing the self-healing mechanical model of the multi-rigid-body system. Then, the system state equation is established by Kalman filter method based on the self-healing mechanical model, and the full information identification of multi-rigid-body system is realized by using acceleration information as input. Finally, the VMC850 vertical machining center is taken as an example to verify that the above method has high accuracy. The online state identification method proposed in this paper can provide real-time data basis for machine tool accuracy compensation and health state estimation.https://doi.org/10.1038/s41598-024-83252-3Junction surfaceSelf-healing modelState identificationModulating functionKalman filtering method |
| spellingShingle | Guoyu Wang Yang Tian Chunming Hou Kewei Tong Online vibration state identification of multi-rigid-body system based on self-healing model Scientific Reports Junction surface Self-healing model State identification Modulating function Kalman filtering method |
| title | Online vibration state identification of multi-rigid-body system based on self-healing model |
| title_full | Online vibration state identification of multi-rigid-body system based on self-healing model |
| title_fullStr | Online vibration state identification of multi-rigid-body system based on self-healing model |
| title_full_unstemmed | Online vibration state identification of multi-rigid-body system based on self-healing model |
| title_short | Online vibration state identification of multi-rigid-body system based on self-healing model |
| title_sort | online vibration state identification of multi rigid body system based on self healing model |
| topic | Junction surface Self-healing model State identification Modulating function Kalman filtering method |
| url | https://doi.org/10.1038/s41598-024-83252-3 |
| work_keys_str_mv | AT guoyuwang onlinevibrationstateidentificationofmultirigidbodysystembasedonselfhealingmodel AT yangtian onlinevibrationstateidentificationofmultirigidbodysystembasedonselfhealingmodel AT chunminghou onlinevibrationstateidentificationofmultirigidbodysystembasedonselfhealingmodel AT keweitong onlinevibrationstateidentificationofmultirigidbodysystembasedonselfhealingmodel |