Accurate Position Estimation of SRM Based on Optimal Interval Selection and Linear Regression Analysis
This paper proposes a novel accurate position estimation method for switched reluctance machine (SRM). The method requires only the flux-linkage characteristics at two particular rotor positions, which can be conveniently measured by the torque-balanced method. The interval which takes these two pos...
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| Veröffentlicht in: | IEEE transactions on industrial electronics (1982) 2016-06, Vol.63 (6), p.3467-3478 |
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| container_title | IEEE transactions on industrial electronics (1982) |
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| creator | Song, Shoujun Ge, Lefei Zhang, Zhihui |
| description | This paper proposes a novel accurate position estimation method for switched reluctance machine (SRM). The method requires only the flux-linkage characteristics at two particular rotor positions, which can be conveniently measured by the torque-balanced method. The interval which takes these two positions as endpoints is selected as the optimal interval due to the good linearity between the flux linkage and position and the low sensitivity to the errors of the flux linkage. The positions in the optimal interval are obtained by the linear flux-linkage model, and the positions that do not lie in this interval are estimated by the monadic linear regression analysis (MLRA). Furthermore, the rotational speed is also estimated based on MLRA. The accuracy of the proposed method is verified by detailed simulation and experiment under different operating conditions such as angle position control and current chopping control. |
| doi_str_mv | 10.1109/TIE.2016.2521730 |
| format | Article |
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The method requires only the flux-linkage characteristics at two particular rotor positions, which can be conveniently measured by the torque-balanced method. The interval which takes these two positions as endpoints is selected as the optimal interval due to the good linearity between the flux linkage and position and the low sensitivity to the errors of the flux linkage. The positions in the optimal interval are obtained by the linear flux-linkage model, and the positions that do not lie in this interval are estimated by the monadic linear regression analysis (MLRA). Furthermore, the rotational speed is also estimated based on MLRA. The accuracy of the proposed method is verified by detailed simulation and experiment under different operating conditions such as angle position control and current chopping control.</description><identifier>ISSN: 0278-0046</identifier><identifier>EISSN: 1557-9948</identifier><identifier>DOI: 10.1109/TIE.2016.2521730</identifier><identifier>CODEN: ITIED6</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Couplings ; Estimation ; interval selection ; linear flux-linkage model ; Linear regression ; monadic linear regression analysis ; position estimation ; Position measurement ; Reluctance machines ; Rotors ; Switched reluctance machine (SRM) ; torque-balanced measurement ; Yttrium</subject><ispartof>IEEE transactions on industrial electronics (1982), 2016-06, Vol.63 (6), p.3467-3478</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c291t-92c6e2fa923437648d213b09d9ece508eee47729622dd4b5e99334cbc4c189bf3</citedby><cites>FETCH-LOGICAL-c291t-92c6e2fa923437648d213b09d9ece508eee47729622dd4b5e99334cbc4c189bf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7393550$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27923,27924,54757</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7393550$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Song, Shoujun</creatorcontrib><creatorcontrib>Ge, Lefei</creatorcontrib><creatorcontrib>Zhang, Zhihui</creatorcontrib><title>Accurate Position Estimation of SRM Based on Optimal Interval Selection and Linear Regression Analysis</title><title>IEEE transactions on industrial electronics (1982)</title><addtitle>TIE</addtitle><description>This paper proposes a novel accurate position estimation method for switched reluctance machine (SRM). The method requires only the flux-linkage characteristics at two particular rotor positions, which can be conveniently measured by the torque-balanced method. The interval which takes these two positions as endpoints is selected as the optimal interval due to the good linearity between the flux linkage and position and the low sensitivity to the errors of the flux linkage. The positions in the optimal interval are obtained by the linear flux-linkage model, and the positions that do not lie in this interval are estimated by the monadic linear regression analysis (MLRA). Furthermore, the rotational speed is also estimated based on MLRA. The accuracy of the proposed method is verified by detailed simulation and experiment under different operating conditions such as angle position control and current chopping control.</description><subject>Couplings</subject><subject>Estimation</subject><subject>interval selection</subject><subject>linear flux-linkage model</subject><subject>Linear regression</subject><subject>monadic linear regression analysis</subject><subject>position estimation</subject><subject>Position measurement</subject><subject>Reluctance machines</subject><subject>Rotors</subject><subject>Switched reluctance machine (SRM)</subject><subject>torque-balanced measurement</subject><subject>Yttrium</subject><issn>0278-0046</issn><issn>1557-9948</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9UE1Lw0AQXUTBWr0LXhY8p-5nNnuspWqhUmnredlsJpISk7qbCP33btriad7MvDe8eQjdUzKhlOin7WI-YYSmEyYZVZxcoBGVUiVai-wSjQhTWUKISK_RTQg7QqiQVI5QOXWu97YD_NGGqqvaBs9DV33bI2xLvFm_42cboMCxX-2HVY0XTQf-N4IN1OCOVNsUeFk1YD1ew5eHEIbptLH1IVThFl2Vtg5wd65j9Pky387ekuXqdTGbLhPHNO0SzVwKrLSaccFVKrKCUZ4TXWhwIEkGAEIpplPGikLkErTmXLjcCUcznZd8jB5Pd_e-_ekhdGbX9j6aCIaqLOOKM0kji5xYzrcheCjN3se__MFQYoY0TUzTDGmac5pR8nCSVNHDP11xzaUk_A-nMnBZ</recordid><startdate>201606</startdate><enddate>201606</enddate><creator>Song, Shoujun</creator><creator>Ge, Lefei</creator><creator>Zhang, Zhihui</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope></search><sort><creationdate>201606</creationdate><title>Accurate Position Estimation of SRM Based on Optimal Interval Selection and Linear Regression Analysis</title><author>Song, Shoujun ; Ge, Lefei ; Zhang, Zhihui</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c291t-92c6e2fa923437648d213b09d9ece508eee47729622dd4b5e99334cbc4c189bf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Couplings</topic><topic>Estimation</topic><topic>interval selection</topic><topic>linear flux-linkage model</topic><topic>Linear regression</topic><topic>monadic linear regression analysis</topic><topic>position estimation</topic><topic>Position measurement</topic><topic>Reluctance machines</topic><topic>Rotors</topic><topic>Switched reluctance machine (SRM)</topic><topic>torque-balanced measurement</topic><topic>Yttrium</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Song, Shoujun</creatorcontrib><creatorcontrib>Ge, Lefei</creatorcontrib><creatorcontrib>Zhang, Zhihui</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on industrial electronics (1982)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Song, Shoujun</au><au>Ge, Lefei</au><au>Zhang, Zhihui</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Accurate Position Estimation of SRM Based on Optimal Interval Selection and Linear Regression Analysis</atitle><jtitle>IEEE transactions on industrial electronics (1982)</jtitle><stitle>TIE</stitle><date>2016-06</date><risdate>2016</risdate><volume>63</volume><issue>6</issue><spage>3467</spage><epage>3478</epage><pages>3467-3478</pages><issn>0278-0046</issn><eissn>1557-9948</eissn><coden>ITIED6</coden><abstract>This paper proposes a novel accurate position estimation method for switched reluctance machine (SRM). The method requires only the flux-linkage characteristics at two particular rotor positions, which can be conveniently measured by the torque-balanced method. The interval which takes these two positions as endpoints is selected as the optimal interval due to the good linearity between the flux linkage and position and the low sensitivity to the errors of the flux linkage. The positions in the optimal interval are obtained by the linear flux-linkage model, and the positions that do not lie in this interval are estimated by the monadic linear regression analysis (MLRA). Furthermore, the rotational speed is also estimated based on MLRA. The accuracy of the proposed method is verified by detailed simulation and experiment under different operating conditions such as angle position control and current chopping control.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TIE.2016.2521730</doi><tpages>12</tpages></addata></record> |
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| issn | 0278-0046 1557-9948 |
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| source | IEEE Electronic Library (IEL) |
| subjects | Couplings Estimation interval selection linear flux-linkage model Linear regression monadic linear regression analysis position estimation Position measurement Reluctance machines Rotors Switched reluctance machine (SRM) torque-balanced measurement Yttrium |
| title | Accurate Position Estimation of SRM Based on Optimal Interval Selection and Linear Regression Analysis |
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