Loading…

Characterization of two-axis equivalent circuit model of PM-BLDC motor by FEA

It was shown recently that the state-variables averaging method is applicable to permanent magnet brushless DC (PM-BLDC) motors and yields an equivalent circuit model analogous to that of the PM-BLAC motor. Calculation of the averaged reference frame voltages is difficult, but is crucial for the mod...

Full description

Saved in:
Bibliographic Details
Main Authors: Jagiela, M, Mendrela, E.A, Gottipati, P
Format: Conference Proceeding
Language:English
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 53
container_issue
container_start_page 52
container_title
container_volume
creator Jagiela, M
Mendrela, E.A
Gottipati, P
description It was shown recently that the state-variables averaging method is applicable to permanent magnet brushless DC (PM-BLDC) motors and yields an equivalent circuit model analogous to that of the PM-BLAC motor. Calculation of the averaged reference frame voltages is difficult, but is crucial for the modeling accuracy. The identification of the averaged (dq) voltages must be carried out using detailed analysis. Here it is done using a dynamic finite element model of an inverter-driven motor. It is shown that these voltages can be modeled by quadratic functions of rotor speed. This lays down the basis for experiment to perform in order to identify these variations. The results obtained from the circuit model compare well with those obtained from the dynamic finite element analysis. Some results from physical model are given.
doi_str_mv 10.1049/cp.2011.0033
format conference_proceeding
fullrecord <record><control><sourceid>iet</sourceid><recordid>TN_cdi_iet_conferences_10_1049_cp_2011_0033</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_1049_cp_2011_0033</sourcerecordid><originalsourceid>FETCH-LOGICAL-i106t-b6424c3246ad155b4de0609733ca3b13521a85d5e83ceb11796bd187661e1ddf3</originalsourceid><addsrcrecordid>eNotkMtOwzAURC0hJFDJjg_wHiX4xo5jL0toKVIrWMDa8uNGGIWkJC6vr6cRzGak0dEsDiGXwApgQl_7fVEygIIxzk9IpmsFSmjQQip5RrJpemWMgZbqmHOya17saH3CMf7YFIeeDi1Nn0Nuv-JE8f0QP2yHfaI-jv4QE30bAnYz9LjLb7a3zXFIw0jdN12vlhfktLXdhNl_L8jzevXUbPLtw919s9zmEZhMuZOiFJ6XQtoAVeVEQCaZrjn3ljvgVQlWVaFCxT06gFpLF0DVUgJCCC1fkKu_34jJ-KFvccTe42SAmVmC8XszSzCzBP4LN8xPcg</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Characterization of two-axis equivalent circuit model of PM-BLDC motor by FEA</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Jagiela, M ; Mendrela, E.A ; Gottipati, P</creator><creatorcontrib>Jagiela, M ; Mendrela, E.A ; Gottipati, P</creatorcontrib><description>It was shown recently that the state-variables averaging method is applicable to permanent magnet brushless DC (PM-BLDC) motors and yields an equivalent circuit model analogous to that of the PM-BLAC motor. Calculation of the averaged reference frame voltages is difficult, but is crucial for the modeling accuracy. The identification of the averaged (dq) voltages must be carried out using detailed analysis. Here it is done using a dynamic finite element model of an inverter-driven motor. It is shown that these voltages can be modeled by quadratic functions of rotor speed. This lays down the basis for experiment to perform in order to identify these variations. The results obtained from the circuit model compare well with those obtained from the dynamic finite element analysis. Some results from physical model are given.</description><identifier>ISBN: 9781849194686</identifier><identifier>ISBN: 1849194688</identifier><identifier>DOI: 10.1049/cp.2011.0033</identifier><language>eng</language><publisher>Stevenage: IET</publisher><subject>d.c. machines ; Finite element analysis ; Power convertors and power supplies to apparatus</subject><ispartof>IET 8th International Conference on Computation in Electromagnetics (CEM 2011), 2011, p.52-53</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>309,310,780,784,789,790,4050,4051,27925</link.rule.ids></links><search><creatorcontrib>Jagiela, M</creatorcontrib><creatorcontrib>Mendrela, E.A</creatorcontrib><creatorcontrib>Gottipati, P</creatorcontrib><title>Characterization of two-axis equivalent circuit model of PM-BLDC motor by FEA</title><title>IET 8th International Conference on Computation in Electromagnetics (CEM 2011)</title><description>It was shown recently that the state-variables averaging method is applicable to permanent magnet brushless DC (PM-BLDC) motors and yields an equivalent circuit model analogous to that of the PM-BLAC motor. Calculation of the averaged reference frame voltages is difficult, but is crucial for the modeling accuracy. The identification of the averaged (dq) voltages must be carried out using detailed analysis. Here it is done using a dynamic finite element model of an inverter-driven motor. It is shown that these voltages can be modeled by quadratic functions of rotor speed. This lays down the basis for experiment to perform in order to identify these variations. The results obtained from the circuit model compare well with those obtained from the dynamic finite element analysis. Some results from physical model are given.</description><subject>d.c. machines</subject><subject>Finite element analysis</subject><subject>Power convertors and power supplies to apparatus</subject><isbn>9781849194686</isbn><isbn>1849194688</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNotkMtOwzAURC0hJFDJjg_wHiX4xo5jL0toKVIrWMDa8uNGGIWkJC6vr6cRzGak0dEsDiGXwApgQl_7fVEygIIxzk9IpmsFSmjQQip5RrJpemWMgZbqmHOya17saH3CMf7YFIeeDi1Nn0Nuv-JE8f0QP2yHfaI-jv4QE30bAnYz9LjLb7a3zXFIw0jdN12vlhfktLXdhNl_L8jzevXUbPLtw919s9zmEZhMuZOiFJ6XQtoAVeVEQCaZrjn3ljvgVQlWVaFCxT06gFpLF0DVUgJCCC1fkKu_34jJ-KFvccTe42SAmVmC8XszSzCzBP4LN8xPcg</recordid><startdate>2011</startdate><enddate>2011</enddate><creator>Jagiela, M</creator><creator>Mendrela, E.A</creator><creator>Gottipati, P</creator><general>IET</general><scope>8ET</scope></search><sort><creationdate>2011</creationdate><title>Characterization of two-axis equivalent circuit model of PM-BLDC motor by FEA</title><author>Jagiela, M ; Mendrela, E.A ; Gottipati, P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i106t-b6424c3246ad155b4de0609733ca3b13521a85d5e83ceb11796bd187661e1ddf3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>d.c. machines</topic><topic>Finite element analysis</topic><topic>Power convertors and power supplies to apparatus</topic><toplevel>online_resources</toplevel><creatorcontrib>Jagiela, M</creatorcontrib><creatorcontrib>Mendrela, E.A</creatorcontrib><creatorcontrib>Gottipati, P</creatorcontrib><collection>IET Conference Publications by volume</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jagiela, M</au><au>Mendrela, E.A</au><au>Gottipati, P</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Characterization of two-axis equivalent circuit model of PM-BLDC motor by FEA</atitle><btitle>IET 8th International Conference on Computation in Electromagnetics (CEM 2011)</btitle><date>2011</date><risdate>2011</risdate><spage>52</spage><epage>53</epage><pages>52-53</pages><isbn>9781849194686</isbn><isbn>1849194688</isbn><abstract>It was shown recently that the state-variables averaging method is applicable to permanent magnet brushless DC (PM-BLDC) motors and yields an equivalent circuit model analogous to that of the PM-BLAC motor. Calculation of the averaged reference frame voltages is difficult, but is crucial for the modeling accuracy. The identification of the averaged (dq) voltages must be carried out using detailed analysis. Here it is done using a dynamic finite element model of an inverter-driven motor. It is shown that these voltages can be modeled by quadratic functions of rotor speed. This lays down the basis for experiment to perform in order to identify these variations. The results obtained from the circuit model compare well with those obtained from the dynamic finite element analysis. Some results from physical model are given.</abstract><cop>Stevenage</cop><pub>IET</pub><doi>10.1049/cp.2011.0033</doi><tpages>2</tpages></addata></record>
fulltext fulltext
identifier ISBN: 9781849194686
ispartof IET 8th International Conference on Computation in Electromagnetics (CEM 2011), 2011, p.52-53
issn
language eng
recordid cdi_iet_conferences_10_1049_cp_2011_0033
source IEEE Electronic Library (IEL) Conference Proceedings
subjects d.c. machines
Finite element analysis
Power convertors and power supplies to apparatus
title Characterization of two-axis equivalent circuit model of PM-BLDC motor by FEA
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T04%3A35%3A39IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-iet&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Characterization%20of%20two-axis%20equivalent%20circuit%20model%20of%20PM-BLDC%20motor%20by%20FEA&rft.btitle=IET%208th%20International%20Conference%20on%20Computation%20in%20Electromagnetics%20(CEM%202011)&rft.au=Jagiela,%20M&rft.date=2011&rft.spage=52&rft.epage=53&rft.pages=52-53&rft.isbn=9781849194686&rft.isbn_list=1849194688&rft_id=info:doi/10.1049/cp.2011.0033&rft_dat=%3Ciet%3E10_1049_cp_2011_0033%3C/iet%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i106t-b6424c3246ad155b4de0609733ca3b13521a85d5e83ceb11796bd187661e1ddf3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true