Hu, R., Wang, J. orcid.org/0000-0003-4870-3744, Sen, B. et al. (3 more authors) (2017) PWM Ripple Currents Based Turn Fault Detection for Multiphase Permanent Magnet Machines. IEEE Transactions on Industry Applications, 53 (3). pp. 2740-2751. ISSN 0093-9994
Abstract
Most permanent magnet machines are driven by inverters with pulse width modulation (PWM) voltages. The currents contain high frequency (HF) components which are inversely proportional to machine inductance. The HF PWM ripple currents can be used to detect a turn fault that gives rise to changes in inductance. The features of these HF components in turn fault conditions are analyzed. A bandpass (BP) filter is designed to extract the selected sideband components, and their root-mean-square (RMS) values are measured. The RMS values in all phases are compared. It is shown that the RMS ripple current ratios between two adjacent phases provide a very good means of detecting turn fault with high signal-to-noise ratio. The detection method can identify the faulted phase, tolerate inherent imbalance of the machine, and is hardly affected by transient states. The method is assessed by simulations and experiments on a five-phase permanent magnet machine.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Institute of Electrical and Electronics Engineers, 2016. This is an author produced version of a paper subsequently published in IEEE Transactions on Industry Applications. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Permanent magnet (PM) machines; Pulse width modulation (PWM); high frequency (HF) components; root-mean-square (RMS) measurement; turn fault detection |
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 V27930 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 05 Jan 2017 13:27 |
Last Modified: | 30 Jun 2023 16:16 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers |
Refereed: | Yes |
Identification Number: | 10.1109/TIA.2016.2642193 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:109767 |