PMSM identification for automotive applications: Cancellation of position sensor errors
The rotor position plays a significant role in identification of motor parameters in Permanent Magnet Synchronous Machines (PMSMs). This paper presents a new model, taking into account errors in measurement of rotor position, for PMSM. A Least Squares (LS) algorithm, based on this new model, is also...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Tagungsbericht |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 692 |
|---|---|
| container_issue | |
| container_start_page | 687 |
| container_title | |
| container_volume | |
| creator | Henwood, N. Malaize, J. Praly, L. |
| description | The rotor position plays a significant role in identification of motor parameters in Permanent Magnet Synchronous Machines (PMSMs). This paper presents a new model, taking into account errors in measurement of rotor position, for PMSM. A Least Squares (LS) algorithm, based on this new model, is also presented. The proposed algorithm relies on currents, voltages and speed measurements, and identifies both motor parameters and the value of the position error. The method is experimentally implemented and the results demonstrate that the new proposed model and LS algorithm improve the identified resistance and dq-axis inductances, while the rotor flux is hardly affected by the position error. Moreover, a study of measurement uncertainties is conducted to establish confidence intervals on the identified parameters. |
| doi_str_mv | 10.1109/IECON.2011.6119393 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6119393</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6119393</ieee_id><sourcerecordid>6119393</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-368c1a889f4b9c546652661afd41540f0603c48be5429188e37793da10f163cc3</originalsourceid><addsrcrecordid>eNotUEtLAzEYjFjBtvYP6CV_YNd8m7c3WaoW-hBU9FbSbAKR7WZJVsF_r9g9zQzzOAxC10BKAKJvV8t6ty0rAlAKAE01PUMzEFAppiXIc7TQUo1aaDJBU-CcFlxWH5dolvMnIZwpAVP0_rx52eDQuG4IPlgzhNhhHxM2X0M8xiF8O2z6vh2tfIdr01nXtqdk9LiPOfzz7Lr8V3QpxZSv0IU3bXaLEefo7WH5Wj8V693jqr5fFwEkHwoqlAWjlPbsoC1nQvBKCDC-YcAZ8UQQapk6OM4qDUo5KqWmjQHiQVBr6RzdnHaDc27fp3A06Wc_nkJ_AUNDVFA</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>PMSM identification for automotive applications: Cancellation of position sensor errors</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Henwood, N. ; Malaize, J. ; Praly, L.</creator><creatorcontrib>Henwood, N. ; Malaize, J. ; Praly, L.</creatorcontrib><description>The rotor position plays a significant role in identification of motor parameters in Permanent Magnet Synchronous Machines (PMSMs). This paper presents a new model, taking into account errors in measurement of rotor position, for PMSM. A Least Squares (LS) algorithm, based on this new model, is also presented. The proposed algorithm relies on currents, voltages and speed measurements, and identifies both motor parameters and the value of the position error. The method is experimentally implemented and the results demonstrate that the new proposed model and LS algorithm improve the identified resistance and dq-axis inductances, while the rotor flux is hardly affected by the position error. Moreover, a study of measurement uncertainties is conducted to establish confidence intervals on the identified parameters.</description><identifier>ISSN: 1553-572X</identifier><identifier>ISBN: 9781612849690</identifier><identifier>ISBN: 1612849695</identifier><identifier>EISBN: 1612849717</identifier><identifier>EISBN: 9781612849713</identifier><identifier>EISBN: 9781612849720</identifier><identifier>EISBN: 1612849725</identifier><identifier>DOI: 10.1109/IECON.2011.6119393</identifier><language>eng</language><publisher>IEEE</publisher><subject>Equations ; Mathematical model ; Noise ; Permanent magnet motors ; Resistance ; Rotors ; Synchronous motors</subject><ispartof>IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society, 2011, p.687-692</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6119393$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>310,311,782,786,791,792,2060,27932,54927</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6119393$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Henwood, N.</creatorcontrib><creatorcontrib>Malaize, J.</creatorcontrib><creatorcontrib>Praly, L.</creatorcontrib><title>PMSM identification for automotive applications: Cancellation of position sensor errors</title><title>IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society</title><addtitle>IECON</addtitle><description>The rotor position plays a significant role in identification of motor parameters in Permanent Magnet Synchronous Machines (PMSMs). This paper presents a new model, taking into account errors in measurement of rotor position, for PMSM. A Least Squares (LS) algorithm, based on this new model, is also presented. The proposed algorithm relies on currents, voltages and speed measurements, and identifies both motor parameters and the value of the position error. The method is experimentally implemented and the results demonstrate that the new proposed model and LS algorithm improve the identified resistance and dq-axis inductances, while the rotor flux is hardly affected by the position error. Moreover, a study of measurement uncertainties is conducted to establish confidence intervals on the identified parameters.</description><subject>Equations</subject><subject>Mathematical model</subject><subject>Noise</subject><subject>Permanent magnet motors</subject><subject>Resistance</subject><subject>Rotors</subject><subject>Synchronous motors</subject><issn>1553-572X</issn><isbn>9781612849690</isbn><isbn>1612849695</isbn><isbn>1612849717</isbn><isbn>9781612849713</isbn><isbn>9781612849720</isbn><isbn>1612849725</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotUEtLAzEYjFjBtvYP6CV_YNd8m7c3WaoW-hBU9FbSbAKR7WZJVsF_r9g9zQzzOAxC10BKAKJvV8t6ty0rAlAKAE01PUMzEFAppiXIc7TQUo1aaDJBU-CcFlxWH5dolvMnIZwpAVP0_rx52eDQuG4IPlgzhNhhHxM2X0M8xiF8O2z6vh2tfIdr01nXtqdk9LiPOfzz7Lr8V3QpxZSv0IU3bXaLEefo7WH5Wj8V693jqr5fFwEkHwoqlAWjlPbsoC1nQvBKCDC-YcAZ8UQQapk6OM4qDUo5KqWmjQHiQVBr6RzdnHaDc27fp3A06Wc_nkJ_AUNDVFA</recordid><startdate>201111</startdate><enddate>201111</enddate><creator>Henwood, N.</creator><creator>Malaize, J.</creator><creator>Praly, L.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201111</creationdate><title>PMSM identification for automotive applications: Cancellation of position sensor errors</title><author>Henwood, N. ; Malaize, J. ; Praly, L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-368c1a889f4b9c546652661afd41540f0603c48be5429188e37793da10f163cc3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Equations</topic><topic>Mathematical model</topic><topic>Noise</topic><topic>Permanent magnet motors</topic><topic>Resistance</topic><topic>Rotors</topic><topic>Synchronous motors</topic><toplevel>online_resources</toplevel><creatorcontrib>Henwood, N.</creatorcontrib><creatorcontrib>Malaize, J.</creatorcontrib><creatorcontrib>Praly, L.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Henwood, N.</au><au>Malaize, J.</au><au>Praly, L.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>PMSM identification for automotive applications: Cancellation of position sensor errors</atitle><btitle>IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society</btitle><stitle>IECON</stitle><date>2011-11</date><risdate>2011</risdate><spage>687</spage><epage>692</epage><pages>687-692</pages><issn>1553-572X</issn><isbn>9781612849690</isbn><isbn>1612849695</isbn><eisbn>1612849717</eisbn><eisbn>9781612849713</eisbn><eisbn>9781612849720</eisbn><eisbn>1612849725</eisbn><abstract>The rotor position plays a significant role in identification of motor parameters in Permanent Magnet Synchronous Machines (PMSMs). This paper presents a new model, taking into account errors in measurement of rotor position, for PMSM. A Least Squares (LS) algorithm, based on this new model, is also presented. The proposed algorithm relies on currents, voltages and speed measurements, and identifies both motor parameters and the value of the position error. The method is experimentally implemented and the results demonstrate that the new proposed model and LS algorithm improve the identified resistance and dq-axis inductances, while the rotor flux is hardly affected by the position error. Moreover, a study of measurement uncertainties is conducted to establish confidence intervals on the identified parameters.</abstract><pub>IEEE</pub><doi>10.1109/IECON.2011.6119393</doi><tpages>6</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1553-572X |
| ispartof | IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society, 2011, p.687-692 |
| issn | 1553-572X |
| language | eng |
| recordid | cdi_ieee_primary_6119393 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Equations Mathematical model Noise Permanent magnet motors Resistance Rotors Synchronous motors |
| title | PMSM identification for automotive applications: Cancellation of position sensor errors |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-06T13%3A12%3A34IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=PMSM%20identification%20for%20automotive%20applications:%20Cancellation%20of%20position%20sensor%20errors&rft.btitle=IECON%202011%20-%2037th%20Annual%20Conference%20of%20the%20IEEE%20Industrial%20Electronics%20Society&rft.au=Henwood,%20N.&rft.date=2011-11&rft.spage=687&rft.epage=692&rft.pages=687-692&rft.issn=1553-572X&rft.isbn=9781612849690&rft.isbn_list=1612849695&rft_id=info:doi/10.1109/IECON.2011.6119393&rft_dat=%3Cieee_6IE%3E6119393%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=1612849717&rft.eisbn_list=9781612849713&rft.eisbn_list=9781612849720&rft.eisbn_list=1612849725&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6119393&rfr_iscdi=true |