Vibration compensation control strategy of composite cage rotor bearingless induction motor based on fuzzy coefficient adaptive-linear-neuron method.
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| Title: | Vibration compensation control strategy of composite cage rotor bearingless induction motor based on fuzzy coefficient adaptive-linear-neuron method. |
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| Authors: | Lu, Chengling1,2 (AUTHOR) luchengling@wxc.edu.cn, Yang, Zebin1 (AUTHOR) zbyang@ujs.edu.cn, Sun, Xiaodong3 (AUTHOR) xdsun@ujs.edu.cn, Ding, Qifeng1 (AUTHOR) 2112007005@stmail.ujs.edu.cn |
| Source: | ISA Transactions. Nov2024, Vol. 154, p455-464. 10p. |
| Subjects: | Rotor vibration, Eccentrics (Machinery), Problem solving, Mathematical models, Rotors |
| Abstract: | To address the vibration problem induced by rotor eccentricity in a composite cage rotor bearingless induction motor(CCR-BIM), a vibration compensation control approach based on the fuzzy coefficient adaptive-linear-neuron is proposed. Firstly, the CCR-BIM mathematical model and the mechanism of unbalanced vibration are investigated, obtaining the expression of rotor displacement when the rotor is unbalanced. Afterwards, the displacement is decomposed by the fuzzy coefficient adaptive-linear-neuron algorithm to obtain the harmonic component related to vibration, and the value range of the weight coefficient is determined using stability analysis. Furthermore, through analyzing the shortcomings of the traditional PID vibration compensation method, a rotor vibration compensation method based on the fuzzy coefficient adaptive-linear-neuron is put forward to achieve high-performance vibration compensation control. Finally, the PID method and the proposed fuzzy coefficient adaptive-linear-neuron algorithm are simulated and verified by experiments. The findings demonstrate that the proposed algorithm successfully not only suppresses rotor unbalanced vibration but also exhibiting great dynamic performance. • Dual adaptive-linear-neuron is proposed to solve the problem of PID's insufficient ability to regulate periodic signals. [ABSTRACT FROM AUTHOR] |
| Copyright of ISA Transactions is the property of Elsevier B.V. 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 | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 180584480 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Vibration compensation control strategy of composite cage rotor bearingless induction motor based on fuzzy coefficient adaptive-linear-neuron method. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lu%2C+Chengling%22">Lu, Chengling</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> luchengling@wxc.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Yang%2C+Zebin%22">Yang, Zebin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zbyang@ujs.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Sun%2C+Xiaodong%22">Sun, Xiaodong</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> xdsun@ujs.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Ding%2C+Qifeng%22">Ding, Qifeng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 2112007005@stmail.ujs.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22ISA+Transactions%22">ISA Transactions</searchLink>. Nov2024, Vol. 154, p455-464. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Rotor+vibration%22">Rotor vibration</searchLink><br /><searchLink fieldCode="DE" term="%22Eccentrics+%28Machinery%29%22">Eccentrics (Machinery)</searchLink><br /><searchLink fieldCode="DE" term="%22Problem+solving%22">Problem solving</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Rotors%22">Rotors</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: To address the vibration problem induced by rotor eccentricity in a composite cage rotor bearingless induction motor(CCR-BIM), a vibration compensation control approach based on the fuzzy coefficient adaptive-linear-neuron is proposed. Firstly, the CCR-BIM mathematical model and the mechanism of unbalanced vibration are investigated, obtaining the expression of rotor displacement when the rotor is unbalanced. Afterwards, the displacement is decomposed by the fuzzy coefficient adaptive-linear-neuron algorithm to obtain the harmonic component related to vibration, and the value range of the weight coefficient is determined using stability analysis. Furthermore, through analyzing the shortcomings of the traditional PID vibration compensation method, a rotor vibration compensation method based on the fuzzy coefficient adaptive-linear-neuron is put forward to achieve high-performance vibration compensation control. Finally, the PID method and the proposed fuzzy coefficient adaptive-linear-neuron algorithm are simulated and verified by experiments. The findings demonstrate that the proposed algorithm successfully not only suppresses rotor unbalanced vibration but also exhibiting great dynamic performance. • Dual adaptive-linear-neuron is proposed to solve the problem of PID's insufficient ability to regulate periodic signals. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of ISA Transactions is the property of Elsevier B.V. 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: 10.1016/j.isatra.2024.09.003 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 455 Subjects: – SubjectFull: Rotor vibration Type: general – SubjectFull: Eccentrics (Machinery) Type: general – SubjectFull: Problem solving Type: general – SubjectFull: Mathematical models Type: general – SubjectFull: Rotors Type: general Titles: – TitleFull: Vibration compensation control strategy of composite cage rotor bearingless induction motor based on fuzzy coefficient adaptive-linear-neuron method. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lu, Chengling – PersonEntity: Name: NameFull: Yang, Zebin – PersonEntity: Name: NameFull: Sun, Xiaodong – PersonEntity: Name: NameFull: Ding, Qifeng IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 00190578 Numbering: – Type: volume Value: 154 Titles: – TitleFull: ISA Transactions Type: main |
| ResultId | 1 |