Dai, S., Wang, J orcid.org/0000-0003-4870-3744 and Sun, Z. (2019) Pseudo six-step modulation with optimal flux tracking for control of high-speed permanent magnet synchronous machines (PMSMs). In: Proceedings of 2019 IEEE Energy Conversion Congress and Exposition (ECCE). The Eleventh Annual Energy Conversion Congress and Exposition (ECCE2019), 29 Sep - 03 Oct 2019, Baltimore, MD, USA. IEEE , pp. 313-320. ISBN 9781728103952
Abstract
As fundamental frequency increases with speed, the ratio between the permissible switching frequency and the fundamental frequency, also known as pulse number is reduced dramatically in high-speed electric machine drives. In electric drives with low pulse numbers, the state-of-art pulse width modulation (PWM) methods, such as space vector modulation (SVM) and synchronous optimal modulation (SOM) cannot yield both good transient performance and low harmonic distortions in steady state. Therefore, in this paper, a novel and simple pseudo six-step modulation (PSSM) technique is proposed. The concept of this method is to synthesize the reference voltage vector based on optimized switching vector patterns (OSVPs) to track the optimal stator flux (OSF) in six steps per cycle for minimum current THD. As a result, the proposed method can respond to the demand change within 1/6 cycle during transients since the stator flux is directly controlled. Meanwhile, in steady states, the applied switching vectors would approach to the corresponding OSVP, hence the low current distortions close to the offline optimal results can be obtained. The effectiveness of the proposed method has been validated by extensive simulations on a high-speed PMSM drive with rated speed of 30,000rpm.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 IEEE. |
Keywords: | permanent magnet synchronous machines; high-speed electric drives control; synchronous optimal modulation; optimal pulse patterns; optimal stator flux tracking |
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 Rolls-Royce Plc (UK) N/A |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 25 Nov 2019 12:07 |
Last Modified: | 06 Jan 2020 16:35 |
Status: | Published online |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/ECCE.2019.8912637 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:152991 |