Application of the model reference adaptive system method in sensorless control for elevator drive systems using 3-Phase permanent magnet synchronous motors.
Saved in:
| Title: | Application of the model reference adaptive system method in sensorless control for elevator drive systems using 3-Phase permanent magnet synchronous motors. |
|---|---|
| Authors: | Van Khoi, Tran1 tvkhoi.ktd@utc.edu.vn, Anh, An Thi Hoai Thu1 htanh.ktd@utc.edu.vn, Hieu, Tran Trong1 Hieu201503761@lms.utc.edu.vn |
| Source: | International Journal of Electrical & Computer Engineering (2088-8708). Feb2026, Vol. 16 Issue 1, p149-157. 9p. |
| Subjects: | Sensorless control systems, Adaptive control systems, Electric motors, Elevators, Field orientation principle, Electric filters, Simulink (Computer software) |
| Abstract: | Improving sensorless control performance in elevator drive systems using three-phase permanent magnet synchronous motors (PMSM) has become increasingly popular to reduce costs and enhance system stability. The primary operation of the elevator involves motor mode when the cabin moves upward and shifts to generator mode or braking mode under the influence of gravity when moving downward. This presents significant challenges for sensorless control. To address these issues, the model reference adaptive system (MRAS) based on the mathematical d-q axis model of the PMSM is proposed to estimate rotor speed and position. Combined with fieldoriented control (FOC), this method optimizes performance and precisely controls motor torque without requiring physical sensors. Additionally, a low-pass filter is employed to process input signals, such as voltage and current, to improve estimation accuracy and optimize speed response. Simulation results from MATLAB/Simulink demonstrate highly accurate speed responses, particularly under continuous load variations. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Electrical & Computer Engineering (2088-8708) is the property of Institute of Advanced Engineering & Science 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 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 191308290 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Application of the model reference adaptive system method in sensorless control for elevator drive systems using 3-Phase permanent magnet synchronous motors. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Van+Khoi%2C+Tran%22">Van Khoi, Tran</searchLink><relatesTo>1</relatesTo><i> tvkhoi.ktd@utc.edu.vn</i><br /><searchLink fieldCode="AR" term="%22Anh%2C+An+Thi+Hoai+Thu%22">Anh, An Thi Hoai Thu</searchLink><relatesTo>1</relatesTo><i> htanh.ktd@utc.edu.vn</i><br /><searchLink fieldCode="AR" term="%22Hieu%2C+Tran+Trong%22">Hieu, Tran Trong</searchLink><relatesTo>1</relatesTo><i> Hieu201503761@lms.utc.edu.vn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Electrical+%26+Computer+Engineering+%282088-8708%29%22">International Journal of Electrical & Computer Engineering (2088-8708)</searchLink>. Feb2026, Vol. 16 Issue 1, p149-157. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Sensorless+control+systems%22">Sensorless control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Adaptive+control+systems%22">Adaptive control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+motors%22">Electric motors</searchLink><br /><searchLink fieldCode="DE" term="%22Elevators%22">Elevators</searchLink><br /><searchLink fieldCode="DE" term="%22Field+orientation+principle%22">Field orientation principle</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+filters%22">Electric filters</searchLink><br /><searchLink fieldCode="DE" term="%22Simulink+%28Computer+software%29%22">Simulink (Computer software)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Improving sensorless control performance in elevator drive systems using three-phase permanent magnet synchronous motors (PMSM) has become increasingly popular to reduce costs and enhance system stability. The primary operation of the elevator involves motor mode when the cabin moves upward and shifts to generator mode or braking mode under the influence of gravity when moving downward. This presents significant challenges for sensorless control. To address these issues, the model reference adaptive system (MRAS) based on the mathematical d-q axis model of the PMSM is proposed to estimate rotor speed and position. Combined with fieldoriented control (FOC), this method optimizes performance and precisely controls motor torque without requiring physical sensors. Additionally, a low-pass filter is employed to process input signals, such as voltage and current, to improve estimation accuracy and optimize speed response. Simulation results from MATLAB/Simulink demonstrate highly accurate speed responses, particularly under continuous load variations. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Electrical & Computer Engineering (2088-8708) is the property of Institute of Advanced Engineering & Science 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=191308290 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.11591/ijece.v16i1.pp149-157 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 149 Subjects: – SubjectFull: Sensorless control systems Type: general – SubjectFull: Adaptive control systems Type: general – SubjectFull: Electric motors Type: general – SubjectFull: Elevators Type: general – SubjectFull: Field orientation principle Type: general – SubjectFull: Electric filters Type: general – SubjectFull: Simulink (Computer software) Type: general Titles: – TitleFull: Application of the model reference adaptive system method in sensorless control for elevator drive systems using 3-Phase permanent magnet synchronous motors. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Van Khoi, Tran – PersonEntity: Name: NameFull: Anh, An Thi Hoai Thu – PersonEntity: Name: NameFull: Hieu, Tran Trong IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20888708 Numbering: – Type: volume Value: 16 – Type: issue Value: 1 Titles: – TitleFull: International Journal of Electrical & Computer Engineering (2088-8708) Type: main |
| ResultId | 1 |
