Parameter estimation for VSI-Fed PMSM based on a dynamic PSO with learning strategies

Liu, Z.H., Wei, H.L. orcid.org/0000-0002-4704-7346, Zhong, Q.C. et al. (3 more authors) (2016) Parameter estimation for VSI-Fed PMSM based on a dynamic PSO with learning strategies. IEEE Transactions on Power Electronics, 32 (4). pp. 3154-3165. ISSN 0885-8993

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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
Keywords: particle swarm optimization (PSO); dynamic; opposition-based learning (OBL); parameter identification; voltage source inverter (VSI) nonlinearity; permanent magnet synchronous machines (PMSMs).
Dates:
  • Published: 24 May 2016
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 02 Mar 2017 11:04
Last Modified: 22 Mar 2018 06:39
Published Version: https://doi.org/10.1109/TPEL.2016.2572186
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: https://doi.org/10.1109/TPEL.2016.2572186

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