Position Estimation Using Linear Hall Sensors for Permanent Magnet Linear Motor Systems
This paper proposes a new scaleless position estimation method. From the industrial perspective, the Hall sensor has several advantages: tiny size, light weight, extremely low cost, and insensitivity to environmental contamination and external disturbance. Compared to the square wave Hall sensor, th...
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| Veröffentlicht in: | IEEE transactions on industrial electronics (1982) 2016-12, Vol.63 (12), p.7644-7652 |
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| container_title | IEEE transactions on industrial electronics (1982) |
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| creator | Kim, Jonghwa Choi, Seibum Cho, Kwanghyun Nam, Kanghyun |
| description | This paper proposes a new scaleless position estimation method. From the industrial perspective, the Hall sensor has several advantages: tiny size, light weight, extremely low cost, and insensitivity to environmental contamination and external disturbance. Compared to the square wave Hall sensor, the linear Hall sensor provides more detailed information along the position. However, for combining more than two linear Hall sensors, the sensor offset, the difference in scale, and the unwanted phase shift between them and the harmonics would decrease the validity and reliability of sensor measurement. The fast Fourier transform and the fixed point iteration method are applied to compensate for those issues without any low-pass filter or additional signal conditioning. The effectiveness of the proposed scheme is verified through a prototype permanent magnet linear synchronous motor system. |
| doi_str_mv | 10.1109/TIE.2016.2591899 |
| format | Article |
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From the industrial perspective, the Hall sensor has several advantages: tiny size, light weight, extremely low cost, and insensitivity to environmental contamination and external disturbance. Compared to the square wave Hall sensor, the linear Hall sensor provides more detailed information along the position. However, for combining more than two linear Hall sensors, the sensor offset, the difference in scale, and the unwanted phase shift between them and the harmonics would decrease the validity and reliability of sensor measurement. The fast Fourier transform and the fixed point iteration method are applied to compensate for those issues without any low-pass filter or additional signal conditioning. The effectiveness of the proposed scheme is verified through a prototype permanent magnet linear synchronous motor system.</description><identifier>ISSN: 0278-0046</identifier><identifier>EISSN: 1557-9948</identifier><identifier>DOI: 10.1109/TIE.2016.2591899</identifier><identifier>CODEN: ITIED6</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Electric motors ; Fast Fourier transform (FFT) ; Fast Fourier transformations ; fixed point iteration method ; Fourier transforms ; Hall effect ; initial position alignment ; linear Hall sensor ; Low pass filters ; Magnetic sensors ; Newton method ; permanent magnet linear motor ; Permanent magnet motors ; Permanent magnets ; position estimation ; Position sensing ; scaleless motor system ; Sensor arrays ; Sensor systems ; Sensors ; Square waves ; Synchronous motors ; Temperature sensors ; Weight reduction</subject><ispartof>IEEE transactions on industrial electronics (1982), 2016-12, Vol.63 (12), p.7644-7652</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-eaaba7a683d49426c0c5d2a702798ddc2c852ec06859785608f1665c09f50ddf3</citedby><cites>FETCH-LOGICAL-c291t-eaaba7a683d49426c0c5d2a702798ddc2c852ec06859785608f1665c09f50ddf3</cites><orcidid>0000-0002-7723-3748</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7514959$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7514959$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Kim, Jonghwa</creatorcontrib><creatorcontrib>Choi, Seibum</creatorcontrib><creatorcontrib>Cho, Kwanghyun</creatorcontrib><creatorcontrib>Nam, Kanghyun</creatorcontrib><title>Position Estimation Using Linear Hall Sensors for Permanent Magnet Linear Motor Systems</title><title>IEEE transactions on industrial electronics (1982)</title><addtitle>TIE</addtitle><description>This paper proposes a new scaleless position estimation method. From the industrial perspective, the Hall sensor has several advantages: tiny size, light weight, extremely low cost, and insensitivity to environmental contamination and external disturbance. Compared to the square wave Hall sensor, the linear Hall sensor provides more detailed information along the position. However, for combining more than two linear Hall sensors, the sensor offset, the difference in scale, and the unwanted phase shift between them and the harmonics would decrease the validity and reliability of sensor measurement. The fast Fourier transform and the fixed point iteration method are applied to compensate for those issues without any low-pass filter or additional signal conditioning. The effectiveness of the proposed scheme is verified through a prototype permanent magnet linear synchronous motor system.</description><subject>Electric motors</subject><subject>Fast Fourier transform (FFT)</subject><subject>Fast Fourier transformations</subject><subject>fixed point iteration method</subject><subject>Fourier transforms</subject><subject>Hall effect</subject><subject>initial position alignment</subject><subject>linear Hall sensor</subject><subject>Low pass filters</subject><subject>Magnetic sensors</subject><subject>Newton method</subject><subject>permanent magnet linear motor</subject><subject>Permanent magnet motors</subject><subject>Permanent magnets</subject><subject>position estimation</subject><subject>Position sensing</subject><subject>scaleless motor system</subject><subject>Sensor arrays</subject><subject>Sensor systems</subject><subject>Sensors</subject><subject>Square waves</subject><subject>Synchronous motors</subject><subject>Temperature sensors</subject><subject>Weight reduction</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>eNo9kEFPAjEQhRujiYjeTbxs4nlx2m277dEQFBKIJEA8NrXbJUugxbYc-PcWQU8zybz3ZuZD6BHDAGOQL8vJaEAA8wFhEgspr1APM1aXUlJxjXpAalECUH6L7mLcAGDKMOuhz7mPXeq8K0YxdTv9265i59bFtHNWh2Kst9tiYV30IRatD8Xchp121qViptfOpj_hzKc8XRxjsrt4j25avY324VL7aPU2Wg7H5fTjfTJ8nZaGSJxKq_WXrjUXVUMlJdyAYQ3RdT5XiqYxxAhGrAEumKwF4yBazDkzIFsGTdNWffR8zt0H_32wMamNPwSXVyosKomprCjPKjirTPAxBtuqfcjPhqPCoE74VManTvjUBV-2PJ0tnbX2X16znMhk9QO4UWta</recordid><startdate>201612</startdate><enddate>201612</enddate><creator>Kim, Jonghwa</creator><creator>Choi, Seibum</creator><creator>Cho, Kwanghyun</creator><creator>Nam, Kanghyun</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><orcidid>https://orcid.org/0000-0002-7723-3748</orcidid></search><sort><creationdate>201612</creationdate><title>Position Estimation Using Linear Hall Sensors for Permanent Magnet Linear Motor Systems</title><author>Kim, Jonghwa ; Choi, Seibum ; Cho, Kwanghyun ; Nam, Kanghyun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c291t-eaaba7a683d49426c0c5d2a702798ddc2c852ec06859785608f1665c09f50ddf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Electric motors</topic><topic>Fast Fourier transform (FFT)</topic><topic>Fast Fourier transformations</topic><topic>fixed point iteration method</topic><topic>Fourier transforms</topic><topic>Hall effect</topic><topic>initial position alignment</topic><topic>linear Hall sensor</topic><topic>Low pass filters</topic><topic>Magnetic sensors</topic><topic>Newton method</topic><topic>permanent magnet linear motor</topic><topic>Permanent magnet motors</topic><topic>Permanent magnets</topic><topic>position estimation</topic><topic>Position sensing</topic><topic>scaleless motor system</topic><topic>Sensor arrays</topic><topic>Sensor systems</topic><topic>Sensors</topic><topic>Square waves</topic><topic>Synchronous motors</topic><topic>Temperature sensors</topic><topic>Weight reduction</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Jonghwa</creatorcontrib><creatorcontrib>Choi, Seibum</creatorcontrib><creatorcontrib>Cho, Kwanghyun</creatorcontrib><creatorcontrib>Nam, Kanghyun</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005–Present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Xplore</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>Kim, Jonghwa</au><au>Choi, Seibum</au><au>Cho, Kwanghyun</au><au>Nam, Kanghyun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Position Estimation Using Linear Hall Sensors for Permanent Magnet Linear Motor Systems</atitle><jtitle>IEEE transactions on industrial electronics (1982)</jtitle><stitle>TIE</stitle><date>2016-12</date><risdate>2016</risdate><volume>63</volume><issue>12</issue><spage>7644</spage><epage>7652</epage><pages>7644-7652</pages><issn>0278-0046</issn><eissn>1557-9948</eissn><coden>ITIED6</coden><abstract>This paper proposes a new scaleless position estimation method. From the industrial perspective, the Hall sensor has several advantages: tiny size, light weight, extremely low cost, and insensitivity to environmental contamination and external disturbance. Compared to the square wave Hall sensor, the linear Hall sensor provides more detailed information along the position. However, for combining more than two linear Hall sensors, the sensor offset, the difference in scale, and the unwanted phase shift between them and the harmonics would decrease the validity and reliability of sensor measurement. The fast Fourier transform and the fixed point iteration method are applied to compensate for those issues without any low-pass filter or additional signal conditioning. The effectiveness of the proposed scheme is verified through a prototype permanent magnet linear synchronous motor system.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TIE.2016.2591899</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-7723-3748</orcidid></addata></record> |
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| subjects | Electric motors Fast Fourier transform (FFT) Fast Fourier transformations fixed point iteration method Fourier transforms Hall effect initial position alignment linear Hall sensor Low pass filters Magnetic sensors Newton method permanent magnet linear motor Permanent magnet motors Permanent magnets position estimation Position sensing scaleless motor system Sensor arrays Sensor systems Sensors Square waves Synchronous motors Temperature sensors Weight reduction |
| title | Position Estimation Using Linear Hall Sensors for Permanent Magnet Linear Motor Systems |
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