Wu, X. orcid.org/0000-0002-8111-3191, Zhu, Z. orcid.org/0000-0001-7175-3307 and Wu, Z. (2021) A new simplified fundamental model‐based sensorless control method for surface‐mounted permanent magnet synchronous machines. IET Electric Power Applications, 15 (2). pp. 159-170. ISSN 1751-8660
Abstract
For sensorless control of surface‐mounted permanent magnet synchronous machines (SPMSMs), the major issue is in zero‐ and low‐speed ranges. Since back‐electromotive force (EMF) is proportional to speed, back‐EMF based methods fail at zero and low speed. A solution considering the starting process and low speed sensorless control is presented. A simplified fundamental model‐based method is proposed. Based on the simplified model, the measured stator currents in the stationary reference frame can be directly utilised for position estimation so that the sensorless control performance at low speed and starting is improved. Moreover, with the knowledge of rotor initial position sector information, a stable and reliable starting performance is achieved with the proposed method. The effectiveness of the proposed method is verified through experimental results.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited (http://creativecommons.org/licenses/by/4.0/). |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Funding Information: | Funder Grant number Engineering and Physical Science Research Council EP/R004900/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 18 Mar 2021 15:01 |
Last Modified: | 18 Mar 2021 15:01 |
Status: | Published |
Publisher: | Institution of Engineering and Technology (IET) |
Refereed: | Yes |
Identification Number: | 10.1049/elp2.12022 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:172194 |