Self-learning Direct Flux Vector Control of Interior Permanent Magnet Machine Drives

Sun, T., Wang, J. orcid.org/0000-0003-4870-3744 and Koc, M. (2017) Self-learning Direct Flux Vector Control of Interior Permanent Magnet Machine Drives. IEEE Transactions on Power Electronics, 32 (6). pp. 4652-4662. ISSN 0885-8993

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: Signal injection; Maximum torque per Ampere (MTPA) operation; Permanent magnet synchronous machine (IPMSM); Self-learning control
Dates:
  • Published (online): 24 August 2016
  • Accepted: 11 August 2016
  • Published: June 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield)
Funding Information:
FunderGrant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)EP/K034987/1
Depositing User: Symplectic Sheffield
Date Deposited: 21 Dec 2016 14:42
Last Modified: 21 Mar 2018 12:38
Published Version: https://doi.org/10.1109/TPEL.2016.2602243
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: https://doi.org/10.1109/TPEL.2016.2602243

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