Determining Switched Reluctance Motor Current Waveforms Exploiting the Transformation from the Time to the Position Domain
Jakub Bernat,
Sławomir Stępień and
Jan K. Sykulski
Additional contact information
Jakub Bernat: Department of Computer Engineering, Poznań University of Technology, ul. Piotrowo 3a, 60-965 Poznań, Poland
Sławomir Stępień: Department of Computer Engineering, Poznań University of Technology, ul. Piotrowo 3a, 60-965 Poznań, Poland
Jan K. Sykulski: Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK
Energies, 2017, vol. 10, issue 6, 1-14
Abstract:
This paper addresses the issue of estimating current waveforms in a switched reluctance motor required to achieve a desired electromagnetic torque. The methodology employed exploits the recently-developed method based on the transformation from the time to the position domain. This transformation takes account of nonlinearities caused by a doubly-salient structure. Owing to this new modelling technique it is possible to solve optimization problems with reference torque, constrained voltage, and parameter sensitivity accounted for. The proposed methodology is verified against published solutions and illustrated through simulations and experiments.
Keywords: modelling; optimization; switched reluctance motor; electronic commutator (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1996-1073/10/6/799/pdf (application/pdf)
https://www.mdpi.com/1996-1073/10/6/799/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:10:y:2017:i:6:p:799-:d:101260
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().