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Realising robust low speed sensorless PMSM control using current derivatives obtained from standard current sensors

Hind, David; Li, Chen; Sumner, Mark; Gerada, Chris

Authors

David Hind ezzdmh@nottingham.ac.uk

Chen Li

MARK SUMNER mark.sumner@nottingham.ac.uk
Professor of Electrical Energy Systems



Abstract

This paper describes the implementation of a simple, robust and cost-effective sensorless control technique for PMSM machines. The method uses stator current derivative measurements made in response to certain PWM vectors. In this work the derivatives are created from measurements made with standard hall-effect sensors (at the start and end of switching vectors), meaning that specialist transducers, such as Rogowski Coils, are not required. However, under narrow PWM vectors high frequency (HF) oscillations can disrupt the current and current derivative responses. In previous work, the time that PWM vectors were applied to the machine for was extended to a threshold known as the minimum pulse width (tmin) in order to allow the HF oscillations to decay and a derivative measurement to be obtained. This introduces additional distortion to the motor current. It is shown here that an artificial neural network can be used to estimate derivatives using measurements from a standard current sensor before the HF oscillations have fully decayed, thus permitting a reduction of the minimum pulse width (and associated distortion).

Citation

Hind, D., Li, C., Sumner, M., & Gerada, C. (2017). Realising robust low speed sensorless PMSM control using current derivatives obtained from standard current sensors

Conference Name 2017 IEEE International Electric Machines and Drives Conference (IEMDC)
End Date May 24, 2017
Acceptance Date Feb 15, 2017
Online Publication Date Aug 8, 2017
Publication Date May 21, 2017
Deposit Date Apr 10, 2018
Publicly Available Date Apr 10, 2018
Peer Reviewed Peer Reviewed
Keywords Sensorless Control; Current derivative; Neural Network; Saliency; PMSM; Permanent Magnet
Public URL http://eprints.nottingham.ac.uk/id/eprint/51055
Publisher URL https://ieeexplore.ieee.org/document/8002075/
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
Additional Information doi:10.1109/IEMDC.2017.8002075

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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