The Research on Horizontal Motion Axis Control System Error Prediction of the Gantry-Type Vertical Machining Center.
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| Title: | The Research on Horizontal Motion Axis Control System Error Prediction of the Gantry-Type Vertical Machining Center. |
|---|---|
| Authors: | HU, Yue1 jdhy@hbun.edu.cn, YU, Bo2 |
| Source: | Mechanika. 2026, Vol. 32 Issue 1, p80-84. 5p. |
| Subjects: | Hidden Markov models, Numerical control of machine tools, Manufacturing industries, Intelligent control systems, Metrology, Error analysis in mathematics |
| Abstract: | As the cornerstone of high-end equipment manufacturing industry, the GVM Center breaks through the limitations of traditional processing through intelligent control technology, and has become a core equipment to promote the upgrading of precision manufacturing, which plays an irreplaceable role in enhancing the competitiveness of national high-end manufacturing. However, in the actual machining process of the GVM Center, due to the superposition of various factors, it is inevitable to produce complex machining errors. In order further improve the machining quality of the GVM Center, it is necessary to carry out error compensation technology research. HMM, as an important content in the field pattern recognition, has further developed its application scope with the rapid change of information data in recent years. Based on the data characteristics of HMM, the research on error compensation of the GVM Center is an innovative attempt. This research combines the theory of HMM dual stochastic process, deeply analyzes the motion error form of the horizontal moving axis X Y axis of the GVM Center, integrates the error lookahead prediction idea, describes the basic theory of HMM in detail, and embeds it into the g vertical machining center. It constructs a control error compensation model based on HMM, and analyzes the specific steps of HMM to implement error compensation. Based on the actualizing content, the error compensation effect of HMM with different training data is compared and analyzed, and the effectiveness of the research content is proved through data analysis before and after error. The research results provide theoretical support and engineering examples for the intelligent error control of high-precision CNC machine tools, and have important application value in the fields of aerospace-wall parts and precision mold processing. [ABSTRACT FROM AUTHOR] |
| Copyright of Mechanika is the property of Mechanika and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 192912355 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The Research on Horizontal Motion Axis Control System Error Prediction of the Gantry-Type Vertical Machining Center. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22HU%2C+Yue%22">HU, Yue</searchLink><relatesTo>1</relatesTo><i> jdhy@hbun.edu.cn</i><br /><searchLink fieldCode="AR" term="%22YU%2C+Bo%22">YU, Bo</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Mechanika%22">Mechanika</searchLink>. 2026, Vol. 32 Issue 1, p80-84. 5p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Hidden+Markov+models%22">Hidden Markov models</searchLink><br /><searchLink fieldCode="DE" term="%22Numerical+control+of+machine+tools%22">Numerical control of machine tools</searchLink><br /><searchLink fieldCode="DE" term="%22Manufacturing+industries%22">Manufacturing industries</searchLink><br /><searchLink fieldCode="DE" term="%22Intelligent+control+systems%22">Intelligent control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Metrology%22">Metrology</searchLink><br /><searchLink fieldCode="DE" term="%22Error+analysis+in+mathematics%22">Error analysis in mathematics</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: As the cornerstone of high-end equipment manufacturing industry, the GVM Center breaks through the limitations of traditional processing through intelligent control technology, and has become a core equipment to promote the upgrading of precision manufacturing, which plays an irreplaceable role in enhancing the competitiveness of national high-end manufacturing. However, in the actual machining process of the GVM Center, due to the superposition of various factors, it is inevitable to produce complex machining errors. In order further improve the machining quality of the GVM Center, it is necessary to carry out error compensation technology research. HMM, as an important content in the field pattern recognition, has further developed its application scope with the rapid change of information data in recent years. Based on the data characteristics of HMM, the research on error compensation of the GVM Center is an innovative attempt. This research combines the theory of HMM dual stochastic process, deeply analyzes the motion error form of the horizontal moving axis X Y axis of the GVM Center, integrates the error lookahead prediction idea, describes the basic theory of HMM in detail, and embeds it into the g vertical machining center. It constructs a control error compensation model based on HMM, and analyzes the specific steps of HMM to implement error compensation. Based on the actualizing content, the error compensation effect of HMM with different training data is compared and analyzed, and the effectiveness of the research content is proved through data analysis before and after error. The research results provide theoretical support and engineering examples for the intelligent error control of high-precision CNC machine tools, and have important application value in the fields of aerospace-wall parts and precision mold processing. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Mechanika is the property of Mechanika and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.5755/j02.mech.43049 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 5 StartPage: 80 Subjects: – SubjectFull: Hidden Markov models Type: general – SubjectFull: Numerical control of machine tools Type: general – SubjectFull: Manufacturing industries Type: general – SubjectFull: Intelligent control systems Type: general – SubjectFull: Metrology Type: general – SubjectFull: Error analysis in mathematics Type: general Titles: – TitleFull: The Research on Horizontal Motion Axis Control System Error Prediction of the Gantry-Type Vertical Machining Center. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: HU, Yue – PersonEntity: Name: NameFull: YU, Bo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 13921207 Numbering: – Type: volume Value: 32 – Type: issue Value: 1 Titles: – TitleFull: Mechanika Type: main |
| ResultId | 1 |
