LAPSE:2023.33867
Published Article
LAPSE:2023.33867
A Novel Driving Scheme for Three-Phase Bearingless Induction Machine with Split Winding
April 24, 2023
In order to reduce the costs of implementing the radial position control system of a three-phase bearingless machine with split winding, this article proposes a driving method that uses only two phases of the system instead of the three-phase traditional one. It reduces from six to four the number of inverter legs, drivers, sensors, and current controllers necessary to drive and control the system. To justify the proposal, this new power and control configuration was applied to a 250 W machine controlled by a digital signal processor (DSP). The results obtained demonstrated that it is possible to carry out the radial position control through two phases, without loss of performance in relation to the conventional three-phase drive and control system.
Record ID
Keywords
bearingless, DSP, induction motor, radial position control
Subject
Suggested Citation
Carvalho Souza FE, Silva W, Ortiz Salazar A, Paiva J, Moura D, Villarreal ERL. A Novel Driving Scheme for Three-Phase Bearingless Induction Machine with Split Winding. (2023). LAPSE:2023.33867
Author Affiliations
Carvalho Souza FE: The Federal Institute of Education, Science and Technology of Rio Grande do Norte (IFRN), Natal 59015-000, Brazil [ORCID]
Silva W: Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte (DCA-UFRN), Natal 59072-970, Brazil [ORCID]
Ortiz Salazar A: Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte (DCA-UFRN), Natal 59072-970, Brazil [ORCID]
Paiva J: The Federal Institute of Education, Science and Technology of Rio Grande do Norte (IFRN), Natal 59015-000, Brazil [ORCID]
Moura D: Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte (DCA-UFRN), Natal 59072-970, Brazil [ORCID]
Villarreal ERL: Department of Natural Sciences, Mathematics, and Statistics, Federal Rural University of Semi-Arid (DCME-UFERSA), Mossoró 59625-900, Brazil [ORCID]
Silva W: Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte (DCA-UFRN), Natal 59072-970, Brazil [ORCID]
Ortiz Salazar A: Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte (DCA-UFRN), Natal 59072-970, Brazil [ORCID]
Paiva J: The Federal Institute of Education, Science and Technology of Rio Grande do Norte (IFRN), Natal 59015-000, Brazil [ORCID]
Moura D: Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte (DCA-UFRN), Natal 59072-970, Brazil [ORCID]
Villarreal ERL: Department of Natural Sciences, Mathematics, and Statistics, Federal Rural University of Semi-Arid (DCME-UFERSA), Mossoró 59625-900, Brazil [ORCID]
Journal Name
Energies
Volume
14
Issue
16
First Page
4930
Year
2021
Publication Date
2021-08-12
Published Version
ISSN
1996-1073
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Original Submission
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PII: en14164930, Publication Type: Journal Article
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LAPSE:2023.33867
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doi:10.3390/en14164930
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[v1] (Original Submission)
Apr 24, 2023
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Apr 24, 2023
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