Two high performance position estimation schemes based on sliding-mode observer for sensorless SPMSM drives

Yang, H; Zhang, Y; Zhang, N

Two high performance position estimation schemes based on sliding-mode observer for sensorless SPMSM drives

Yang, H

Zhang, Y Zhang, N

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Publication Type:: Conference Proceeding
Citation:: 2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016, 2016, pp. 3663 - 3669
Issue Date:: 2016-07-13

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Field	Value	Language
dc.contributor.author	Yang, H https://orcid.org/0000-0002-4987-5794	en_US
dc.contributor.author	Zhang, Y	en_US
dc.contributor.author	Zhang, N https://orcid.org/0000-0001-6408-0044	en_US
dc.date.issued	2016-07-13	en_US
dc.identifier.citation	2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016, 2016, pp. 3663 - 3669	en_US
dc.identifier.isbn	9781509012107	en_US
dc.identifier.uri	http://hdl.handle.net/10453/122629
dc.description.abstract	© 2016 IEEE. To improve the control performance of surface permanent magnet synchronous motor (SPMSM) without speed sensor, two sensorless schemes are proposed based on the sliding-mode observer (SMO). As the estimated back electromotive force (back-EMF) are contaminated by high frequency switching noise, inverter nonlinearities and flux spatial harmonics etc., direct extraction of the position information from the estimated back-EMF may result in rich error ripples. This would greatly deteriorate the control performance. In this paper, two simple methods, the programmable cascaded low-pass filter (PCLF) and complex coefficient filter (CCF) are proposed to suppress the error harmonics in the estimated position without complex online adaption algorithm and the phase delay. Furthermore, the discretization error caused by digital implementation is carefully considered and compensated to ensure satisfactory performance over a wide speed range. Both methods are simulated and experimentally tested on a two-level inverter fed 2.4 kW SPMSM platform. It is shown that both methods can achieve good steady state and dynamic performances.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP150102751
dc.relation.ispartof	2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016	en_US
dc.relation.isbasedon	10.1109/IPEMC.2016.7512882	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Two high performance position estimation schemes based on sliding-mode observer for sensorless SPMSM drives	en_US
dc.type	Conference Proceeding
utslib.for	0902 Automotive Engineering	en_US
utslib.for	091304 Dynamics, Vibration and Vibration Control	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2016 IEEE. To improve the control performance of surface permanent magnet synchronous motor (SPMSM) without speed sensor, two sensorless schemes are proposed based on the sliding-mode observer (SMO). As the estimated back electromotive force (back-EMF) are contaminated by high frequency switching noise, inverter nonlinearities and flux spatial harmonics etc., direct extraction of the position information from the estimated back-EMF may result in rich error ripples. This would greatly deteriorate the control performance. In this paper, two simple methods, the programmable cascaded low-pass filter (PCLF) and complex coefficient filter (CCF) are proposed to suppress the error harmonics in the estimated position without complex online adaption algorithm and the phase delay. Furthermore, the discretization error caused by digital implementation is carefully considered and compensated to ensure satisfactory performance over a wide speed range. Both methods are simulated and experimentally tested on a two-level inverter fed 2.4 kW SPMSM platform. It is shown that both methods can achieve good steady state and dynamic performances.

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http://hdl.handle.net/10453/122629