Double Dead-Time Signal Injection Strategy for Stator Resistance Estimation of Induction Machines

Poza, Javier; Garramiola, Fernando; Rivera, Christian A.; Iturbe, Ion

dc.rights.license	Attribution 4.0 International	*
dc.contributor.author	Poza, Javier
dc.contributor.author	Garramiola, Fernando
dc.contributor.author	Rivera, Christian A.
dc.contributor.author	Iturbe, Ion
dc.contributor.other	Lazcano, Urtzi
dc.date.accessioned	2022-11-09T10:51:59Z
dc.date.available	2022-11-09T10:51:59Z
dc.date.issued	2022
dc.identifier.issn	2076-3417	en
dc.identifier.other	https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=168373	en
dc.identifier.uri	https://hdl.handle.net/20.500.11984/5814
dc.description.abstract	A sensorless online temperature estimator is presented in this paper, which estimates the temperature using a novel signal injection strategy. This allows to eliminate the temperature sensors in the machine, as well as their faults, increasing the system reliability. A double dead-time DC signal is injected in the machine, adding a controlled offset in the control drive through the inverter. The proposed strategy eliminates the effect of the dead-time in the injected signal, which is an important drawback in DC injection strategies for resistance estimation. Furthermore, additional hardware is not needed. The strategy has been implemented in an inverter-fed railway traction induction machine. The proposed algorithm has been validated in a real test-bench.	en
dc.description.sponsorship	Gobierno Vasco-Eusko Jaurlaritza	es
dc.language.iso	eng	en
dc.publisher	MDPI	en
dc.rights	© 2022 The Authors	en
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	*
dc.subject	induction motor	en
dc.subject	signal injection	en
dc.subject	stator resistance estimation	en
dc.subject	temperature estimation	en
dc.subject	thermal protection	en
dc.title	Double Dead-Time Signal Injection Strategy for Stator Resistance Estimation of Induction Machines	en
dcterms.accessRights	http://purl.org/coar/access_right/c_abf2	en
dcterms.source	Applied Sciences	en
local.contributor.group	Accionamientos aplicados a la tracción y a la generación de energía eléctrica	es
local.description.peerreviewed	true	en
local.identifier.doi	https://doi.org/10.3390/app12178812	en
local.relation.projectID	info:eu-repo/grantAgreement/GV/Elkartek 2021/KK-2021-00044/CAPV/Vehículo eléctrico basado en Nitruro de Galio/VEGAN	en
local.contributor.otherinstitution	Cegasa Energia S.L.U.	es
local.source.details	12(17). 1 September, 2022	en
oaire.format.mimetype	application/pdf
oaire.file	$DSPACE\assetstore
oaire.resourceType	http://purl.org/coar/resource_type/c_6501	en
oaire.version	http://purl.org/coar/version/c_970fb48d4fbd8a85	en