A Deadbeat Predictive Current Vector Control Algorithm for Improving Current Control Performance of Stepper Motors.
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| Title: | A Deadbeat Predictive Current Vector Control Algorithm for Improving Current Control Performance of Stepper Motors. |
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| Authors: | Ma, Jianmin1 mw696@163.com, Ma, Kexin2 |
| Source: | Progress in Electromagnetics Research C. 2026, Vol. 163, p277-284. 8p. |
| Subjects: | Stepping motors, Numerical control of machine tools, Real-time computing, Stability theory, Electric motors, Predictive control systems, Pulse width modulation |
| Abstract: | To address the issues of step loss, control lag, and low precision in open-loop hybrid stepper motors applied in economical CNC machine tools, a deadbeat predictive current field oriented control method (DPCFOC) is proposed. First, the research progress of hybrid stepper motor vector control is systematically reviewed, analyzing the advantages and limitations of existing schemes in error compensation, model construction, and algorithm implementation. Subsequently, the continuous mathematical model of the hybrid stepper motor in the rotating coordinate system is established, and the discrete deadbeat predictive model and current prediction equation are derived using the first-order forward Euler method. On this basis, a deadbeat vector control algorithm is proposed. Compared with the traditional dual-closed-loop vector control with PI regulators, the algorithm predicts the next-step current through the motor model and calculates the optimal reference voltage vector in advance to eliminate current error, thereby improving dynamic response speed. Stability analysis via Z-transformation reveals that the system remains stable when the model inductance parameter is within 0-2 times the actual inductance. For the two-phase hybrid stepper motor, a space vector pulse width modulation (SVPWM) strategy based on a dual H-bridge inverter is designed, using 4 non-zero vectors and 2 zero vectors to synthesize the desired voltage vector. Finally, an experimental platform is built with a TMS320F28335 controller and a 57CME22A closed-loop stepper motor to verify the algorithm. This study provides a feasible solution for improving the control precision and dynamic performance of hybrid stepper motors in economical CNC machine tools. [ABSTRACT FROM AUTHOR] |
| Copyright of Progress in Electromagnetics Research C is the property of Electromagnetics Academy 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: 191045871 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Deadbeat Predictive Current Vector Control Algorithm for Improving Current Control Performance of Stepper Motors. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ma%2C+Jianmin%22">Ma, Jianmin</searchLink><relatesTo>1</relatesTo><i> mw696@163.com</i><br /><searchLink fieldCode="AR" term="%22Ma%2C+Kexin%22">Ma, Kexin</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Progress+in+Electromagnetics+Research+C%22">Progress in Electromagnetics Research C</searchLink>. 2026, Vol. 163, p277-284. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Stepping+motors%22">Stepping motors</searchLink><br /><searchLink fieldCode="DE" term="%22Numerical+control+of+machine+tools%22">Numerical control of machine tools</searchLink><br /><searchLink fieldCode="DE" term="%22Real-time+computing%22">Real-time computing</searchLink><br /><searchLink fieldCode="DE" term="%22Stability+theory%22">Stability theory</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+motors%22">Electric motors</searchLink><br /><searchLink fieldCode="DE" term="%22Predictive+control+systems%22">Predictive control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Pulse+width+modulation%22">Pulse width modulation</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: To address the issues of step loss, control lag, and low precision in open-loop hybrid stepper motors applied in economical CNC machine tools, a deadbeat predictive current field oriented control method (DPCFOC) is proposed. First, the research progress of hybrid stepper motor vector control is systematically reviewed, analyzing the advantages and limitations of existing schemes in error compensation, model construction, and algorithm implementation. Subsequently, the continuous mathematical model of the hybrid stepper motor in the rotating coordinate system is established, and the discrete deadbeat predictive model and current prediction equation are derived using the first-order forward Euler method. On this basis, a deadbeat vector control algorithm is proposed. Compared with the traditional dual-closed-loop vector control with PI regulators, the algorithm predicts the next-step current through the motor model and calculates the optimal reference voltage vector in advance to eliminate current error, thereby improving dynamic response speed. Stability analysis via Z-transformation reveals that the system remains stable when the model inductance parameter is within 0-2 times the actual inductance. For the two-phase hybrid stepper motor, a space vector pulse width modulation (SVPWM) strategy based on a dual H-bridge inverter is designed, using 4 non-zero vectors and 2 zero vectors to synthesize the desired voltage vector. Finally, an experimental platform is built with a TMS320F28335 controller and a 57CME22A closed-loop stepper motor to verify the algorithm. This study provides a feasible solution for improving the control precision and dynamic performance of hybrid stepper motors in economical CNC machine tools. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Progress in Electromagnetics Research C is the property of Electromagnetics Academy 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: 10.2528/PIERC25101602 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 277 Subjects: – SubjectFull: Stepping motors Type: general – SubjectFull: Numerical control of machine tools Type: general – SubjectFull: Real-time computing Type: general – SubjectFull: Stability theory Type: general – SubjectFull: Electric motors Type: general – SubjectFull: Predictive control systems Type: general – SubjectFull: Pulse width modulation Type: general Titles: – TitleFull: A Deadbeat Predictive Current Vector Control Algorithm for Improving Current Control Performance of Stepper Motors. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ma, Jianmin – PersonEntity: Name: NameFull: Ma, Kexin IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19378718 Numbering: – Type: volume Value: 163 Titles: – TitleFull: Progress in Electromagnetics Research C Type: main |
| ResultId | 1 |
