Torque ripples and estimation performance of high frequency signal injection based sensorless pmsm drive strategies

Wang, Y; Zhu, J; Guo, Y; Li, Y; Xu, W

Torque ripples and estimation performance of high frequency signal injection based sensorless pmsm drive strategies

Wang, Y Zhu, J

Guo, Y

Li, Y Xu, W

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Publication Type:: Conference Proceeding
Citation:: 2010 IEEE Energy Conversion Congress and Exposition, ECCE 2010 - Proceedings, 2010, pp. 1699 - 1706
Issue Date:: 2010-12-20

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Field	Value	Language
dc.contributor.author	Wang, Y	en_US
dc.contributor.author	Zhu, J https://orcid.org/0000-0002-9763-4047	en_US
dc.contributor.author	Guo, Y https://orcid.org/0000-0001-6182-0684	en_US
dc.contributor.author	Li, Y	en_US
dc.contributor.author	Xu, W	en_US
dc.date.issued	2010-12-20	en_US
dc.identifier.citation	2010 IEEE Energy Conversion Congress and Exposition, ECCE 2010 - Proceedings, 2010, pp. 1699 - 1706	en_US
dc.identifier.isbn	9781424452866	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16391
dc.description.abstract	The developed nonlinear permanent magnet synchronous machine (PMSM) model established a virtual model to simulate and assess the sensorless drive schemes for PMSMs avoiding the experimental trial and error method. In this paper, three sensorless PMSM drive schemes are investigated and compared, which are all based on the high frequency signal injection. The nonlinear PMSM machine model is employed to accurately simulate the machine performance and to analytically assess the efficiency of the sensorless algorithm. Both the structural and saturation saliencies are incorporated in this comprehensive model. The comparison of the machine torque ripples induced by excitation signals are carried out. The magnitude of injected signal and recordable rotor position information are considered together as the efficiency of the estimation algorithm. Additionally, the implementation and signal process computing costs are considered for all the schemes. Finally, a comprehensive comparison of all the methods is developed. © 2010 IEEE.	en_US
dc.relation.ispartof	2010 IEEE Energy Conversion Congress and Exposition, ECCE 2010 - Proceedings	en_US
dc.relation.isbasedon	10.1109/ECCE.2010.5618116	en_US
dc.title	Torque ripples and estimation performance of high frequency signal injection based sensorless pmsm drive strategies	en_US
dc.type	Conference Proceeding
utslib.for	0902 Automotive Engineering	en_US
dc.location.activity	Altanta, USA	en_US
dc.location.activity	Oxford, England
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 Electrical and Data Engineering
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/Strength - CCET - Centre for Clean Energy Technology
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

The developed nonlinear permanent magnet synchronous machine (PMSM) model established a virtual model to simulate and assess the sensorless drive schemes for PMSMs avoiding the experimental trial and error method. In this paper, three sensorless PMSM drive schemes are investigated and compared, which are all based on the high frequency signal injection. The nonlinear PMSM machine model is employed to accurately simulate the machine performance and to analytically assess the efficiency of the sensorless algorithm. Both the structural and saturation saliencies are incorporated in this comprehensive model. The comparison of the machine torque ripples induced by excitation signals are carried out. The magnitude of injected signal and recordable rotor position information are considered together as the efficiency of the estimation algorithm. Additionally, the implementation and signal process computing costs are considered for all the schemes. Finally, a comprehensive comparison of all the methods is developed. © 2010 IEEE.

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http://hdl.handle.net/10453/16391